experimental research topics for stem students quantitative

Best 151+ Quantitative Research Topics for STEM Students

In today’s rapidly evolving world, STEM (Science, Technology, Engineering, and Mathematics) fields have gained immense significance. For STEM students, engaging in quantitative research is a pivotal aspect of their academic journey. Quantitative research involves the systematic collection and interpretation of numerical data to address research questions or test hypotheses. Choosing the right research topic is essential to ensure a successful and meaningful research endeavor. 

In this blog, we will explore 151+ quantitative research topics for STEM students. Whether you are an aspiring scientist, engineer, or mathematician, this comprehensive list will inspire your research journey. But we understand that the journey through STEM education and research can be challenging at times. That’s why we’re here to support you every step of the way with our Engineering Assignment Help service. 

What is Quantitative Research in STEM?

Table of Contents

Quantitative research is a scientific approach that relies on numerical data and statistical analysis to draw conclusions and make predictions. In STEM fields, quantitative research encompasses a wide range of methodologies, including experiments, surveys, and data analysis. The key characteristics of quantitative research in STEM include:

• Data Collection: Systematic gathering of numerical data through experiments, observations, or surveys.
• Statistical Analysis: Application of statistical techniques to analyze data and draw meaningful conclusions.
• Hypothesis Testing: Testing hypotheses and theories using quantitative data.
• Replicability: The ability to replicate experiments and obtain consistent results.
• Generalizability: Drawing conclusions that can be applied to larger populations or phenomena.

Importance of Quantitative Research Topics for STEM Students

Quantitative research plays a pivotal role in STEM education and research for several reasons:

1. Empirical Evidence

It provides empirical evidence to support or refute scientific theories and hypotheses.

2. Data-Driven Decision-Making

STEM professionals use quantitative research to make informed decisions, from designing experiments to developing new technologies.

3. Innovation

It fuels innovation by providing data-driven insights that lead to the creation of new products, processes, and technologies.

4. Problem Solving

STEM students learn critical problem-solving skills through quantitative research, which are invaluable in their future careers.

5. Interdisciplinary Applications 

Quantitative research transcends STEM disciplines, facilitating collaboration and the tackling of complex, real-world problems.

Also Read: Google Scholar Research Topics

Quantitative Research Topics for STEM Students

Now, let’s explore important quantitative research topics for STEM students:

Biology and Life Sciences

Here are some quantitative research topics in biology and life science:

1. The impact of climate change on biodiversity.

2. Analyzing the genetic basis of disease susceptibility.

3. Studying the effectiveness of vaccines in preventing infectious diseases.

4. Investigating the ecological consequences of invasive species.

5. Examining the role of genetics in aging.

6. Analyzing the effects of pollution on aquatic ecosystems.

7. Studying the evolution of antibiotic resistance.

8. Investigating the relationship between diet and lifespan.

9. Analyzing the impact of deforestation on wildlife.

10. Studying the genetics of cancer development.

11. Investigating the effectiveness of various plant fertilizers.

12. Analyzing the impact of microplastics on marine life.

13. Studying the genetics of human behavior.

14. Investigating the effects of pollution on plant growth.

15. Analyzing the microbiome’s role in human health.

16. Studying the impact of climate change on crop yields.

17. Investigating the genetics of rare diseases.

Let’s get started with some quantitative research topics for stem students in chemistry:

1. Studying the properties of superconductors at different temperatures.

2. Analyzing the efficiency of various catalysts in chemical reactions.

3. Investigating the synthesis of novel polymers with unique properties.

4. Studying the kinetics of chemical reactions.

5. Analyzing the environmental impact of chemical waste disposal.

6. Investigating the properties of nanomaterials for drug delivery.

7. Studying the behavior of nanoparticles in different solvents.

8. Analyzing the use of renewable energy sources in chemical processes.

9. Investigating the chemistry of atmospheric pollutants.

10. Studying the properties of graphene for electronic applications.

11. Analyzing the use of enzymes in industrial processes.

12. Investigating the chemistry of alternative fuels.

13. Studying the synthesis of pharmaceutical compounds.

14. Analyzing the properties of materials for battery technology.

15. Investigating the chemistry of natural products for drug discovery.

16. Analyzing the effects of chemical additives on food preservation.

17. Investigating the chemistry of carbon capture and utilization technologies.

Here are some quantitative research topics in physics for stem students:

1. Investigating the behavior of subatomic particles in high-energy collisions.

2. Analyzing the properties of dark matter and dark energy.

3. Studying the quantum properties of entangled particles.

4. Investigating the dynamics of black holes and their gravitational effects.

5. Analyzing the behavior of light in different mediums.

6. Studying the properties of superfluids at low temperatures.

7. Investigating the physics of renewable energy sources like solar cells.

8. Analyzing the properties of materials at extreme temperatures and pressures.

9. Studying the behavior of electromagnetic waves in various applications.

10. Investigating the physics of quantum computing.

11. Analyzing the properties of magnetic materials for data storage.

12. Studying the behavior of particles in plasma for fusion energy research.

13. Investigating the physics of nanoscale materials and devices.

14. Analyzing the properties of materials for use in semiconductors.

15. Studying the principles of thermodynamics in energy efficiency.

16. Investigating the physics of gravitational waves.

17. Analyzing the properties of materials for use in quantum technologies.

Engineering

Let’s explore some quantitative research topics for stem students in engineering: 

1. Investigating the efficiency of renewable energy systems in urban environments.

2. Analyzing the impact of 3D printing on manufacturing processes.

3. Studying the structural integrity of materials in aerospace engineering.

4. Investigating the use of artificial intelligence in autonomous vehicles.

5. Analyzing the efficiency of water treatment processes in civil engineering.

6. Studying the impact of robotics in healthcare.

7. Investigating the optimization of supply chain logistics using quantitative methods.

8. Analyzing the energy efficiency of smart buildings.

9. Studying the effects of vibration on structural engineering.

10. Investigating the use of drones in agricultural practices.

11. Analyzing the impact of machine learning in predictive maintenance.

12. Studying the optimization of transportation networks.

13. Investigating the use of nanomaterials in electronic devices.

14. Analyzing the efficiency of renewable energy storage systems.

15. Studying the impact of AI-driven design in architecture.

16. Investigating the optimization of manufacturing processes using Industry 4.0 technologies.

17. Analyzing the use of robotics in underwater exploration.

Environmental Science

Here are some top quantitative research topics in environmental science for students:

1. Investigating the effects of air pollution on respiratory health.

2. Analyzing the impact of deforestation on climate change.

3. Studying the biodiversity of coral reefs and their conservation.

4. Investigating the use of remote sensing in monitoring deforestation.

5. Analyzing the effects of plastic pollution on marine ecosystems.

6. Studying the impact of climate change on glacier retreat.

7. Investigating the use of wetlands for water quality improvement.

8. Analyzing the effects of urbanization on local microclimates.

9. Studying the impact of oil spills on aquatic ecosystems.

10. Investigating the use of renewable energy in mitigating greenhouse gas emissions.

11. Analyzing the effects of soil erosion on agricultural productivity.

12. Studying the impact of invasive species on native ecosystems.

13. Investigating the use of bioremediation for soil cleanup.

14. Analyzing the effects of climate change on migratory bird patterns.

15. Studying the impact of land use changes on water resources.

16. Investigating the use of green infrastructure for urban stormwater management.

17. Analyzing the effects of noise pollution on wildlife behavior.

Computer Science

Let’s get started with some simple quantitative research topics for stem students:

1. Investigating the efficiency of machine learning algorithms for image recognition.

2. Analyzing the security of blockchain technology in financial transactions.

3. Studying the impact of quantum computing on cryptography.

4. Investigating the use of natural language processing in chatbots and virtual assistants.

5. Analyzing the effectiveness of cybersecurity measures in protecting sensitive data.

6. Studying the impact of algorithmic trading in financial markets.

7. Investigating the use of deep learning in autonomous robotics.

8. Analyzing the efficiency of data compression algorithms for large datasets.

9. Studying the impact of virtual reality in medical simulations.

10. Investigating the use of artificial intelligence in personalized medicine.

11. Analyzing the effectiveness of recommendation systems in e-commerce.

12. Studying the impact of cloud computing on data storage and processing.

13. Investigating the use of neural networks in predicting disease outbreaks.

14. Analyzing the efficiency of data mining techniques in customer behavior analysis.

15. Studying the impact of social media algorithms on user behavior.

16. Investigating the use of machine learning in natural language translation.

17. Analyzing the effectiveness of sentiment analysis in social media monitoring.

Mathematics

Let’s explore the quantitative research topics in mathematics for students:

1. Investigating the properties of prime numbers and their distribution.

2. Analyzing the behavior of chaotic systems using differential equations.

3. Studying the optimization of algorithms for solving complex mathematical problems.

4. Investigating the use of graph theory in network analysis.

5. Analyzing the properties of fractals in natural phenomena.

6. Studying the application of probability theory in risk assessment.

7. Investigating the use of numerical methods in solving partial differential equations.

8. Analyzing the properties of mathematical models for population dynamics.

9. Studying the optimization of algorithms for data compression.

10. Investigating the use of topology in data analysis.

11. Analyzing the behavior of mathematical models in financial markets.

12. Studying the application of game theory in strategic decision-making.

13. Investigating the use of mathematical modeling in epidemiology.

14. Analyzing the properties of algebraic structures in coding theory.

15. Studying the optimization of algorithms for image processing.

16. Investigating the use of number theory in cryptography.

17. Analyzing the behavior of mathematical models in climate prediction.

Earth Sciences

Here are some quantitative research topics for stem students in earth science:

1. Investigating the impact of volcanic eruptions on climate patterns.

2. Analyzing the behavior of earthquakes along tectonic plate boundaries.

3. Studying the geomorphology of river systems and erosion.

4. Investigating the use of remote sensing in monitoring wildfires.

5. Analyzing the effects of glacier melt on sea-level rise.

6. Studying the impact of ocean currents on weather patterns.

7. Investigating the use of geothermal energy in renewable power generation.

8. Analyzing the behavior of tsunamis and their destructive potential.

9. Studying the impact of soil erosion on agricultural productivity.

10. Investigating the use of geological data in mineral resource exploration.

11. Analyzing the effects of climate change on coastal erosion.

12. Studying the geomagnetic field and its role in navigation.

13. Investigating the use of radar technology in weather forecasting.

14. Analyzing the behavior of landslides and their triggers.

15. Studying the impact of groundwater depletion on aquifer systems.

16. Investigating the use of GIS (Geographic Information Systems) in land-use planning.

17. Analyzing the effects of urbanization on heat island formation.

Health Sciences and Medicine

Here are some quantitative research topics for stem students in health science and medicine:

1. Investigating the effectiveness of telemedicine in improving healthcare access.

2. Analyzing the impact of personalized medicine in cancer treatment.

3. Studying the epidemiology of infectious diseases and their spread.

4. Investigating the use of wearable devices in monitoring patient health.

5. Analyzing the effects of nutrition and exercise on metabolic health.

6. Studying the impact of genetics in predicting disease susceptibility.

7. Investigating the use of artificial intelligence in medical diagnosis.

8. Analyzing the behavior of pharmaceutical drugs in clinical trials.

9. Studying the effectiveness of mental health interventions in schools.

10. Investigating the use of gene editing technologies in treating genetic disorders.

11. Analyzing the properties of medical imaging techniques for early disease detection.

12. Studying the impact of vaccination campaigns on public health.

13. Investigating the use of regenerative medicine in tissue repair.

14. Analyzing the behavior of pathogens in antimicrobial resistance.

15. Studying the epidemiology of chronic diseases like diabetes and heart disease.

16. Investigating the use of bioinformatics in genomics research.

17. Analyzing the effects of environmental factors on health outcomes.

Quantitative research is the backbone of STEM fields, providing the tools and methodologies needed to explore, understand, and innovate in the world of science and technology . As STEM students, embracing quantitative research not only enhances your analytical skills but also equips you to address complex real-world challenges. With the extensive list of 155+ quantitative research topics for stem students provided in this blog, you have a starting point for your own STEM research journey. Whether you’re interested in biology, chemistry, physics, engineering, or any other STEM discipline, there’s a wealth of quantitative research topics waiting to be explored. So, roll up your sleeves, grab your lab coat or laptop, and embark on your quest for knowledge and discovery in the exciting world of STEM.

I hope you enjoyed this blog post about quantitative research topics for stem students.

Related Posts

How to write the best quality programming assignment?

Here in this blog, Codeavail programming assignment help experts will help you know the best steps of how to write assignment and explain to you…

How to do my assignment | Good Assignment Writing Tips

When you ask CodeAvail experts how to do my assignment, Our assignment writing experts will motivate you and provide the best ways to do the…

Experimental Quantitative Research Topics For Stem Students

1. impact of variable x on y: examine how changes in x affect y using controlled experiments., 2. algorithm efficiency in different conditions: test algorithm performance under varying data loads., 3. material strength under stress: measure how different materials withstand stress and strain., 4. effects of temperature on reaction rates: analyze how temperature variations influence chemical reactions., 5. simulation of particle dynamics: study how particles interact in different simulated environments., 6. energy consumption of renewable sources: compare energy output and efficiency from various renewables., growth rates of plants with different nutrients: investigate how plant growth varies with nutrient types., 8. accuracy of machine learning models: assess how well different models predict outcomes using real data., discover more stories.

• Write my thesis
• Thesis writers
• Buy thesis papers
• Bachelor thesis
• Master's thesis
• Thesis editing services
• Thesis proofreading services
• Buy a thesis online
• Write my dissertation
• Dissertation proposal help
• Pay for dissertation
• Custom dissertation
• Dissertation help online
• Buy dissertation online
• Cheap dissertation
• Dissertation editing services
• Write my research paper
• Buy research paper online
• Pay for research paper
• Research paper help
• Order research paper
• Custom research paper
• Cheap research paper
• Research papers for sale
• Thesis subjects
• How It Works

55 Brilliant Research Topics For STEM Students

Primarily, STEM is an acronym for Science, Technology, Engineering, and Mathematics. It’s a study program that weaves all four disciplines for cross-disciplinary knowledge to solve scientific problems. STEM touches across a broad array of subjects as STEM students are required to gain mastery of four disciplines.

As a project-based discipline, STEM has different stages of learning. The program operates like other disciplines, and as such, STEM students embrace knowledge depending on their level. Since it’s a discipline centered around innovation, students undertake projects regularly. As a STEM student, your project could either be to build or write on a subject. Your first plan of action is choosing a topic if it’s written. After selecting a topic, you’ll need to determine how long a thesis statement should be .

Given that topic is essential to writing any project, this article focuses on research topics for STEM students. So, if you’re writing a STEM research paper or write my research paper , below are some of the best research topics for STEM students.

List of Research Topics For STEM Students

Quantitative research topics for stem students, qualitative research topics for stem students, what are the best experimental research topics for stem students, non-experimental research topics for stem students, capstone research topics for stem students, correlational research topics for stem students, scientific research topics for stem students, simple research topics for stem students, top 10 research topics for stem students, experimental research topics for stem students about plants, research topics for grade 11 stem students, research topics for grade 12 stem students, quantitative research topics for stem high school students, survey research topics for stem students, interesting and informative research topics for senior high school stem students.

Several research topics can be formulated in this field. They cut across STEM science, engineering, technology, and math. Here is a list of good research topics for STEM students.

• The effectiveness of online learning over physical learning
• The rise of metabolic diseases and their relationship to increased consumption
• How immunotherapy can improve prognosis in Covid-19 progression

For your quantitative research in STEM, you’ll need to learn how to cite a thesis MLA for the topic you’re choosing. Below are some of the best quantitative research topics for STEM students.

• A study of the effect of digital technology on millennials
• A futuristic study of a world ruled by robotics
• A critical evaluation of the future demand in artificial intelligence

There are several practical research topics for STEM students. However, if you’re looking for qualitative research topics for STEM students, here are topics to explore.

• An exploration into how microbial factories result in the cause shortage in raw metals
• An experimental study on the possibility of older-aged men passing genetic abnormalities to children
• A critical evaluation of how genetics could be used to help humans live healthier and longer.

Experimental research in STEM is a scientific research methodology that uses two sets of variables. They are dependent and independent variables that are studied under experimental research. Experimental research topics in STEM look into areas of science that use data to derive results.

Below are easy experimental research topics for STEM students.

• A study of nuclear fusion and fission
• An evaluation of the major drawbacks of Biotechnology in the pharmaceutical industry
• A study of single-cell organisms and how they’re capable of becoming an intermediary host for diseases causing bacteria

Unlike experimental research, non-experimental research lacks the interference of an independent variable. Non-experimental research instead measures variables as they naturally occur. Below are some non-experimental quantitative research topics for STEM students.

• Impacts of alcohol addiction on the psychological life of humans
• The popularity of depression and schizophrenia amongst the pediatric population
• The impact of breastfeeding on the child’s health and development

STEM learning and knowledge grow in stages. The older students get, the more stringent requirements are for their STEM research topic. There are several capstone topics for research for STEM students .

Below are some simple quantitative research topics for stem students.

• How population impacts energy-saving strategies
• The application of an Excel table processor capabilities for cost calculation
•  A study of the essence of science as a sphere of human activity

Correlations research is research where the researcher measures two continuous variables. This is done with little or no attempt to control extraneous variables but to assess the relationship. Here are some sample research topics for STEM students to look into bearing in mind how to cite a thesis APA style for your project.

• Can pancreatic gland transplantation cure diabetes?
• A study of improved living conditions and obesity
• An evaluation of the digital currency as a valid form of payment and its impact on banking and economy

There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students.

• A study of protease inhibitor and how it operates
• A study of how men’s exercise impacts DNA traits passed to children
• A study of the future of commercial space flight

If you’re looking for a simple research topic, below are easy research topics for STEM students.

• How can the problem of Space junk be solved?
• Can meteorites change our view of the universe?
• Can private space flight companies change the future of space exploration?

For your top 10 research topics for STEM students, here are interesting topics for STEM students to consider.

• A comparative study of social media addiction and adverse depression
• The human effect of the illegal use of formalin in milk and food preservation
• An evaluation of the human impact on the biosphere and its results
• A study of how fungus affects plant growth
• A comparative study of antiviral drugs and vaccine
• A study of the ways technology has improved medicine and life science
• The effectiveness of Vitamin D among older adults for disease prevention
• What is the possibility of life on other planets?
• Effects of Hubble Space Telescope on the universe
• A study of important trends in medicinal chemistry research

Below are possible research topics for STEM students about plants:

• How do magnetic fields impact plant growth?
• Do the different colors of light impact the rate of photosynthesis?
• How can fertilizer extend plant life during a drought?

Below are some examples of quantitative research topics for STEM students in grade 11.

• A study of how plants conduct electricity
• How does water salinity affect plant growth?
• A study of soil pH levels on plants

Here are some of the best qualitative research topics for STEM students in grade 12.

• An evaluation of artificial gravity and how it impacts seed germination
• An exploration of the steps taken to develop the Covid-19 vaccine
• Personalized medicine and the wave of the future

Here are topics to consider for your STEM-related research topics for high school students.

• A study of stem cell treatment
• How can molecular biological research of rare genetic disorders help understand cancer?
• How Covid-19 affects people with digestive problems

Below are some survey topics for qualitative research for stem students.

• How does Covid-19 impact immune-compromised people?
• Soil temperature and how it affects root growth
• Burned soil and how it affects seed germination

Here are some descriptive research topics for STEM students in senior high.

• The scientific information concept and its role in conducting scientific research
• The role of mathematical statistics in scientific research
• A study of the natural resources contained in oceans

Final Words About Research Topics For STEM Students

STEM topics cover areas in various scientific fields, mathematics, engineering, and technology. While it can be tasking, reducing the task starts with choosing a favorable topic. If you require external assistance in writing your STEM research, you can seek professional help from our experts.

Leave a Reply Cancel reply

139+ Best Experimental Research Topics for STEM Students

Discover simple and exciting experimental research topics for STEM students. Spark curiosity and build essential skills with hands-on projects.

Experimenting is a fun way to learn in STEM. It lets you take ideas and test them in the real world. This guide offers simple research topics for STEM students to explore what interests them, whether it’s figuring out how something works or creating something new.

By choosing a topic, you’ll gain skills like critical thinking and problem-solving. These topics are a great starting point for discovery and innovation.

Table of Contents

Experimental Research Topics for STEM Students PDF

Importance of experimental research in stem fields.

Here’s why experimental research matters in STEM:

Benefits of conducting experiments for students

Here are the benefits of conducting experiments for students:

Understanding Experimental Research

Key Components of an Experiment:

A guess about what will happen.

• Independent Variable : What you change.
• Dependent Variable : What you measure.
• Controlled Variables : Things you keep the same.

Control Group

A group that doesn’t get the change, used to compare.

Data Collection

Gathering information during the experiment.

Experimental Research Topics for STEM Students

Check out the experiemental research topics for STEM students:-

Plant Growth Conditions

• Skills Required : Basic plant care
• Highlights : Test how different soils affect plant growth.

Light Exposure

• Skills Required : Light effects on plants
• Highlights : See how varying light levels impact plant health.

Water Quality

• Skills Required : Water testing
• Highlights : Compare plant growth with different water types.

Fungal Growth

• Skills Required : Microbiology basics
• Highlights : Study how various materials influence fungal growth.

Insect Behavior

• Skills Required : Observational skills
• Highlights : Investigate insect attraction to colors or smells.

Genetic Variation

• Skills Required : Genetics basics
• Highlights : Compare pest resistance in different plant genes.

Soil Erosion

• Skills Required : Soil knowledge
• Highlights : Test how ground covers reduce soil erosion.

Pollinator Efficiency

• Skills Required : Botany basics
• Highlights : Measure bee visits to different flowers.

Microbe Cultures

• Skills Required : Microbiology techniques
• Highlights : Explore how natural substances affect microbes.

Temperature Effects

• Skills Required : Temperature impact
• Highlights : Test how temperature changes affect organism growth.

Acidity and pH Levels

• Skills Required : pH testing
• Highlights : Measure pH changes with different acids and bases.

Reaction Rates

• Skills Required : Reaction speed basics
• Highlights : See how temperature or concentration affects reaction time.

Natural Dyes

• Skills Required : Dye extraction
• Highlights : Test dyeing effectiveness from natural sources.
• Skills Required : Catalyst basics
• Highlights : Compare how catalysts speed up reactions.

Electrolysis

• Skills Required : Electrolysis basics
• Highlights : Measure gas production in different electrolytes.
• Skills Required : Corrosion knowledge
• Highlights : Test material resistance to corrosion.
• Skills Required : Solubility basics
• Highlights : Compare how different salts dissolve in various liquids.

Chemical Bonds

• Skills Required : Bonding theory
• Highlights : Explore how conditions affect chemical bonds.

Oxidation-Reduction

• Skills Required : Redox basics
• Highlights : Measure changes in redox reactions.

Endothermic and Exothermic Reactions

• Skills Required : Thermodynamics basics
• Highlights : Track temperature changes in endothermic and exothermic reactions.

Simple Machines

• Skills Required : Mechanics basics
• Highlights : Test how levers or pulleys change force and distance.

Thermal Insulation

• Skills Required : Heat transfer basics
• Highlights : Compare insulation effectiveness of different materials.

Pendulum Motion

• Skills Required : Pendulum basics
• Highlights : Study how pendulum length affects swing speed.

Sound Transmission

• Skills Required : Sound wave basics
• Highlights : Test how materials affect sound transmission.

Projectile Motion

• Skills Required : Kinematics basics
• Highlights : Measure how launch angle affects projectile distance.

Magnetic Fields

• Skills Required : Electromagnetism basics
• Highlights : Map out magnetic fields from different magnets.

Electric Circuits

• Skills Required : Circuit design basics
• Highlights : Compare circuit designs for efficiency.

Fluid Dynamics

• Skills Required : Fluid mechanics basics
• Highlights : Measure how fluids flow through different channels.

Gravity and Mass

• Skills Required : Gravity basics
• Highlights : Test how mass affects gravitational acceleration.
• Skills Required : Optics basics
• Highlights : Measure how light bends through different materials.

Environmental Science

Water filtration.

• Skills Required : Filtration methods
• Highlights : Test how different materials filter water.

Waste Decomposition

• Skills Required : Composting basics
• Highlights : Compare decomposition rates of organic wastes.

Solar Energy Efficiency

• Skills Required : Solar technology basics
• Highlights : Measure energy output from solar devices.

Air Quality

• Skills Required : Air pollution basics
• Highlights : Study how plants affect indoor air quality.

Greenhouse Gas Emissions

• Skills Required : Greenhouse gas knowledge
• Highlights : Measure impact of activities on greenhouse gases.

Soil Health

• Skills Required : Soil science basics
• Highlights : Test how farming practices affect soil health.

Recycling Efficiency

• Skills Required : Recycling methods
• Highlights : Compare recovery rates of different materials.

Biodiversity

• Skills Required : Ecology basics
• Highlights : Study species diversity in changing habitats.

Ecosystem Services

• Skills Required : Ecosystem functions
• Highlights : Measure benefits like water purification from natural processes.

Climate Change Effects

• Skills Required : Climate science basics
• Highlights : Study how temperature changes affect weather and ecosystems.

Engineering

Structural strength.

• Skills Required : Mechanical engineering basics
• Highlights : Test how bridge designs hold weight.
• Skills Required : Robotics and programming
• Highlights : Build and program robots for tasks.

Renewable Energy Models

• Skills Required : Renewable energy basics
• Highlights : Create models of solar or wind energy devices.

Thermal Conductivity

• Highlights : Test how materials conduct heat.

Aerodynamics

• Skills Required : Aerodynamics basics
• Highlights : Test how shapes affect flight of model airplanes.

Hydraulic Systems

• Highlights : Test hydraulic designs for lifting weights.

Mechanical Advantage

• Skills Required : Mechanical principles
• Highlights : Compare how machines improve force.

Structural Stability

• Skills Required : Structural design basics
• Highlights : Test how designs affect stability.

Material Strength

• Skills Required : Material science basics
• Highlights : Compare strength of various materials.

Energy Efficiency

• Skills Required : Energy principles
• Highlights : Test energy-saving technologies.

Mathematics

Data analysis.

• Skills Required : Statistical analysis
• Highlights : Analyze trends in data sets.

Geometry in Nature

• Skills Required : Geometry basics
• Highlights : Study geometric patterns in nature.

Predictive Modeling

• Skills Required : Modeling techniques
• Highlights : Model and predict outcomes like population growth.

Optimization Problems

• Skills Required : Optimization basics
• Highlights : Solve problems related to scheduling or resources.

Graph Theory

• Skills Required : Graph theory concepts
• Highlights : Study network connectivity and efficiency.

Number Patterns

• Skills Required : Number theory basics
• Highlights : Explore patterns in number sequences.

Probability Experiments

• Skills Required : Probability basics
• Highlights : Test probability concepts with games or experiments.
• Skills Required : Fractal geometry
• Highlights : Create and analyze fractal patterns.

Simulations

• Skills Required : Simulation techniques
• Highlights : Model systems like traffic flow.

Mathematical Games

• Skills Required : Game theory basics
• Highlights : Design and analyze mathematical games.

Computer Science

Algorithm efficiency.

• Skills Required : Algorithm design
• Highlights : Compare sorting algorithms for speed.

Artificial Intelligence

• Skills Required : AI and machine learning
• Highlights : Build and test simple AI models.

Cybersecurity

• Skills Required : Cybersecurity basics
• Highlights : Test software security measures.

Game Development

• Skills Required : Game design and programming
• Highlights : Create and test a video game.

Data Visualization

• Skills Required : Visualization tools
• Highlights : Create graphs to represent data.

Network Analysis

• Skills Required : Network basics
• Highlights : Study network performance.

Software Testing

• Skills Required : Testing methods
• Highlights : Find and fix software bugs.

Robotics Programming

• Skills Required : Robotics and coding
• Highlights : Program robots for tasks.

Human-Computer Interaction

• Skills Required : HCI principles
• Highlights : Study user experience with different interfaces.

Database Management

• Skills Required : Database design and SQL
• Highlights : Manage and query databases.

Star Visibility

• Skills Required : Star observation
• Highlights : Study how light pollution affects star visibility.

Telescope Performance

• Skills Required : Telescope use
• Highlights : Compare telescope performance.

Planetary Motion

• Skills Required : Orbital mechanics
• Highlights : Simulate planetary orbits.

Solar Radiation

• Skills Required : Solar physics
• Highlights : Measure solar radiation effects.

Celestial Events

• Skills Required : Astronomy observation
• Highlights : Study effects of eclipses on weather.

Stellar Evolution

• Skills Required : Stellar astrophysics
• Highlights : Investigate stages of star life.

Galaxy Formation

• Skills Required : Cosmology basics
• Highlights : Model galaxy formation.
• Skills Required : Exoplanet detection
• Highlights : Study methods for finding exoplanets.

Astronomical Distances

• Skills Required : Distance measurement
• Highlights : Measure distances between celestial objects.

Cosmic Radiation

• Skills Required : Radiation measurement
• Highlights : Study cosmic radiation effects on Earth.

Cognitive Load

• Skills Required : Cognitive psychology
• Highlights : Test how materials affect memory.

Behavioral Responses

• Skills Required : Behavioral psychology
• Highlights : Study effects of rewards on behavior.

Memory Techniques

• Skills Required : Memory research
• Highlights : Test methods to improve memory.

Social Perception

• Skills Required : Social psychology
• Highlights : Explore how social context affects perception.

Emotion and Decision-Making

• Skills Required : Emotional psychology
• Highlights : Study how emotions impact decisions.

Sleep Studies

• Skills Required : Sleep science
• Highlights : Investigate how sleep patterns affect daily function.

Stress and Performance

• Skills Required : Stress psychology
• Highlights : Test how stress affects task performance.

Developmental Stages

• Skills Required : Developmental psychology
• Highlights : Observe milestones in child development.

Self-Esteem and Achievement

• Skills Required : Self-esteem research
• Highlights : Explore impact of self-esteem on achievement.

Addiction Studies

• Skills Required : Addiction research
• Highlights : Study effects of treatments on addiction recovery.

Public Health

Public health campaigns.

• Skills Required : Public health knowledge
• Highlights : Evaluate effectiveness of health campaigns.
• Skills Required : Biochemistry
• Highlights : Study how lifestyle changes affect biomarkers.
• Skills Required : Ergonomic principles
• Highlights : Test how workstation designs impact health.

Disease Prevention

• Skills Required : Disease prevention basics
• Highlights : Compare preventive measures’ effectiveness.

Mental Health Interventions

• Skills Required : Mental health research
• Highlights : Study impact of mental health treatments.

Nutrition and Health

• Skills Required : Nutritional science
• Highlights : Investigate diet effects on health.

Exercise and Well-being

• Skills Required : Exercise science
• Highlights : Test how exercise impacts health.

Vaccination Rates

• Skills Required : Epidemiology
• Highlights : Study factors influencing vaccination rates.

Health Literacy

• Skills Required : Health education
• Highlights : Assess impact of educational materials on health knowledge.

Environmental Health

• Skills Required : Environmental science
• Highlights : Study effects of environmental factors on health.

Ethical Considerations in Experimental Research

Check out the ethical considerations in experimental research:-

The Scientific Method and Its Role in Experimentation

Here’s a table outlining the steps of the scientific method:

Tips for Choosing a Research Topic

Check out the tips for choosing a research topic:-

Conducting Your Experiment

Check out the tips for conducting your experiment:-

Overcoming Challenges

Check out the best tips for overcoming challenges:-

Inspiring Examples of Student Experiments

Check out the inspiring examples of student experiments

Growing Crystals

Make crystals from solutions to see how they form.

Build a simple oven powered by sunlight to cook food.

Plant Growth

Test how different lights or soils affect how plants grow.

Homemade Battery

Create a battery using fruits or coins to learn about electricity.

Build a basic filter to clean dirty water and understand water purification.

Physics of Motion

Use ramps and balls to explore how speed and friction work.

Microbiome Study

Collect samples from surfaces to see what kinds of bacteria are present.

Easy Experimental Research Topics for STEM Students

Check out the easy experiemental research topics for STEM students:-

• Plant Light Colors: See how plants grow under different colored lights.
• Bacteria in Soil: Check how bacteria grow in different types of soil .
• Temperature and Reactions: See if changing temperature makes a reaction happen faster.
• Fruit Acidity: Test how sour different fruits are.
• Pendulum Weight: See if a heavier pendulum swings differently.
• Sliding Friction: Test how easily things slide on different surfaces.
• Paper Bridges: Build paper bridges and see which design holds the most weight.
• Insulation Materials: Compare how well different materials keep water warm.
• Sorting Speed: Compare how fast different sorting methods work.
• App Design Likes: Find out what people prefer in app designs.
• Water Filters: Test how well natural materials clean water.
• Decomposition: See how fast different things decompose.

These topics are straightforward and easy to carry out.

Quantitative Experimental Research Topics for STEM Students

Check out quantitative experimental research topics for stem students

• Plant Height with Fertilizer: Measure plant growth with different fertilizers.
• Bacteria Count: Count bacteria in various food sources.
• Reaction Speed: Measure how fast a reaction occurs with different amounts.
• Salt Dissolving: Measure how much salt dissolves in water.
• Projectile Distance: Measure how far objects travel when thrown.
• Material Stretch: Measure how much materials stretch under weight.
• Breaking Strength: Measure how much force breaks different materials.
• Lever Lift: Measure how much weight levers can lift.
• Sorting Time: Measure how long it takes to sort numbers.
• App Task Time: Measure how long tasks take in different app designs.
• Pollution Levels: Measure pollutants in water.
• Decomposition Speed: Measure how quickly different wastes decompose.

Experimental Research Topics for STEM Students About Plants

Check out experiemental research topics for STEM students about plants:-

• Light Color and Growth: Test how different light colors affect plant height.
• Watering Frequency: Compare plant growth with daily vs. weekly watering.
• Soil Types: See how different soils affect plant growth.
• Fertilizer Effects: Test how different fertilizers impact plant growth.
• Temperature Impact: Measure plant growth at different temperatures.
• Soil pH Levels: Compare plant growth in different pH soils.
• Container Types: See how plant growth differs in various containers.
• Plant Spacing: Test how spacing affects plant growth.
• Pesticide Types: Compare natural vs. synthetic pesticides on plant health.
• Planting Depth: Measure growth with different planting depths.

Experimental Research Topics for STEM Students in the Philippines

Check out Experimental research topics for STEM students in the Philippines

Agriculture

• Rice Varieties: Compare growth of different rice types.
• Organic Fertilizers: Test local organic fertilizers on plant growth.
• Watering Methods: Compare watering techniques for drought resistance.
• Urbanization and Wildlife: Study how city growth affects local animals.
• Waste Segregation: Evaluate different waste separation methods.
• Beach Plastic Pollution: Measure plastic waste on local beaches.
• Soil Types and Plant Growth: Test plant growth in various local soils.
• Pests and Crops: Study how local pests affect crops.
• Herbal Remedies: Test the effectiveness of Filipino herbal remedies.
• Water Quality: Measure water quality in local rivers.
• Natural Water Purifiers: Test how well natural materials filter water.
• Soil pH and Crops: See how soil pH affects crop growth.
• Water Filtration Systems: Develop low-cost water filters.
• Earthquake-Resistant Structures: Test materials for earthquake resistance.
• Renewable Energy: Explore solar or wind energy use in rural areas.
• Internet Access and Education: Study how internet access impacts learning.
• Farmers’ Mobile App: Test a mobile app for local farmers.
• Data Security: Evaluate data protection practices in local contexts.

Choosing the right research topics can make STEM projects both fun and meaningful. For example, testing how different light affects plant growth or looking at local pollution can give students hands-on experience with real issues. These easy projects not only make learning enjoyable but also show how STEM can solve everyday problems.

By choosing topics that are relevant and interesting, students can see how their studies connect to the world around them and see their work make a difference. Whether it’s exploring renewable energy or understanding local wildlife, focusing on practical and relatable subjects makes the learning experience more meaningful and fun.

Related Posts

270+ Unique Cyber Security Research Topics For Students 

250+ Best Cloud Computing Research Topics for students 2024

Leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

200 Quantitative Research Title for Stem Students

Are you a STEM (Science, Technology, Engineering, and Mathematics) student looking for inspiration for your next research project? You’re in the right place! Quantitative research involves gathering numerical data to answer specific questions, and it’s a fundamental part of STEM fields. To help you get started on your research journey, we’ve compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. Whether you’re an undergraduate or graduate student, these titles can serve as a springboard for your research ideas.

Biology and Life Sciences

• The Impact of pH Levels on Microbial Growth
• Examining the Impact of Temperature on Enzyme Activity.
• Investigating the Relationship Between Genetics and Obesity
• Exploring the Diversity of Microorganisms in Soil Samples
• Quantifying the Impact of Pesticides on Aquatic Ecosystems
• Studying the Effect of Light Exposure on Plant Growth
• Analyzing the Efficiency of Antibiotics on Bacterial Infections
• Investigating the Relationship Between Blood Type and Disease Susceptibility
• Evaluating the Effects of Different Diets on Lifespan in Fruit Flies
• Evaluating the Influence of Air Pollution on Respiratory Health.
• Determining the Kinetics of Chemical Reactions
• Investigating the Conductivity of Various Ionic Solutions
• Analyzing the Effects of Temperature on Gas Solubility
• Studying the Corrosion Rate of Metals in Different Environments
• Quantifying the Concentration of Heavy Metals in Water Sources
• Evaluating the Efficiency of Photocatalytic Materials in Water Purification
• Examining the Thermodynamics of Electrochemical Cells
• Investigating the Effect of pH on Acid-Base Titrations
• Analyzing the Composition of Natural and Synthetic Polymers
• Assessing the Chemical Properties of Nanoparticles
• Measuring the Speed of Light Using Interferometry
• Studying the Behavior of Electromagnetic Waves in Different Media
• Investigating the Relationship Between Mass and Gravitational Force
• Analyzing the Efficiency of Solar Cells in Energy Conversion
• Examining Quantum Entanglement in Photon Pairs
• Quantifying the Heat Transfer in Different Materials
• Evaluating the Efficiency of Wind Turbines in Energy Production
• Studying the Elasticity of Materials Through Stress-Strain Analysis
• Analyzing the Effects of Magnetic Fields on Particle Motion
• Investigating the Behavior of Superconductors at Low Temperatures

Mathematics

• Exploring Patterns in Prime Numbers
• Analyzing the Distribution of Random Variables
• Investigating the Properties of Fractals in Geometry
• Evaluating the Efficiency of Optimization Algorithms
• Studying the Dynamics of Differential Equations
• Quantifying the Growth of Cryptocurrency Markets
• Analyzing Network Theory and its Applications
• Investigating the Complexity of Sorting Algorithms
• Assessing the Predictive Power of Machine Learning Models
• Examining the Distribution of Prime Factors in Large Numbers

Computer Science

• Evaluating the Performance of Encryption Algorithms
• Analyzing the Efficiency of Data Compression Techniques
• Investigating Cybersecurity Threats in IoT Devices
• Quantifying the Impact of Code Refactoring on Software Quality
• Studying the Behavior of Neural Networks in Image Recognition
• Analyzing the Effectiveness of Natural Language Processing Models
• Investigating the Relationship Between Software Bugs and Development Methods
• Evaluating the Efficiency of Blockchain Consensus Mechanisms
• Assessing the Privacy Implications of Social Media Data Mining
• Studying the Dynamics of Online Social Networks

Engineering

• Analyzing the Structural Integrity of Bridges Under Load
• Investigating the Efficiency of Renewable Energy Systems
• Quantifying the Performance of Water Filtration Systems
• Evaluating the Durability of 3D-Printed Materials
• Studying the Aerodynamics of Drone Design
• Analyzing the Impact of Noise Pollution on Urban Environments
• Investigating the Efficiency of Heat Exchangers in HVAC Systems
• Assessing the Safety of Autonomous Vehicles in Real-world Scenarios
• Exploring the Applications of Artificial Intelligence in Robotics
• Investigating Material Behavior in Extreme Conditions.

Environmental Science

• Assessing the Effect of Climate Change on Wildlife Migration.
• Analyzing the Effect of Deforestation on Carbon Sequestration
• Investigating the Relationship Between Air Quality and Human Health
• Quantifying the Rate of Soil Erosion in Different Landscapes
• Analyzing the Impacts of Ocean Acidification on Coral Reefs.
• Assessing the Efficiency of Waste-to-Energy Conversion Technologies
• Analyzing the Impact of Urbanization on Local Microclimates
• Investigating the Effect of Oil Spills on Aquatic Ecosystems
• Assessing the Effectiveness of Endangered Species Conservation Initiatives.
• Studying the Dynamics of Ecological Communities

Astronomy and Space Sciences

• Measuring the Orbits of Exoplanets Using Transit Photometry
• Investigating the Formation of Stars in Nebulae
• Analyzing the Characteristics of Black Holes
• Exploring the Characteristics of Cosmic Microwave Background Radiation.
• Quantifying the Distribution of Dark Matter in Galaxies
• Assessing the Effects of Space Weather on Satellite Communications
• Evaluating the Potential for Asteroid Mining
• Investigating the Habitability of Exoplanets in the Goldilocks Zone
• Analyzing Gravitational Waves from Neutron Star Collisions
• Investigating the Evolution of Galaxies Across Cosmic Eras.

Health Sciences

• Evaluating the Impact of Exercise on Cardiovascular Health
• Analyzing the Relationship Between Diet and Diabetes
• Investigating the Efficacy of Vaccination Programs
• Quantifying the Psychological Effects of Social Media Use
• Studying the Genetics of Neurodegenerative Diseases
• Analyzing the Effects of Meditation on Stress Reduction
• Investigating the Correlation Between Sleep Patterns and Mental Health
• Assessing the Influence of Environmental Factors on Allergies
• Evaluating the Effectiveness of Telemedicine in Patient Care
• Studying the Health Disparities Among Different Demographic Groups

Materials Science

• Analyzing the Properties of Carbon Nanotubes for Nanoelectronics
• Investigating the Thermal Conductivity of Advanced Ceramics
• Quantifying the Strength of Composite Materials
• Studying the Optical Properties of Quantum Dots
• Evaluating the Biocompatibility of Biomaterials for Implants
• Investigating the Phase Transitions in Perovskite Materials
• Analyzing the Mechanical Behavior of Shape Memory Alloys
• Assessing the Corrosion Resistance of Coatings on Metals
• Studying the Electrical Conductivity of Polymer Blends
• Exploring the Superconducting Properties of High-Temperature Superconductors

Earth Sciences

• Assessing the Influence of Volcanic Eruptions on Climate.
• Analyzing the Geological Processes Shaping Earth’s Surface
• Investigating the Seismic Activity in Subduction Zones
• Quantifying the Rate of Glacial Retreat in Polar Regions
• Studying the Formation of Earthquakes Along Fault Lines
• Analyzing the Changes in Ocean Circulation Due to Climate Change
• Investigating the Effects of Urbanization on Groundwater Quality
• Assessing the Risk of Landslides in Hilly Terrain
• Evaluating the Impact of Coastal Erosion on Communities
• Studying the Behavior of Hurricanes in Different Oceanic Basins

Social Sciences and Economics

• Analyzing the Economic Impact of Natural Disasters
• Investigating the Relationship Between Education and Income
• Quantifying the Effects of Public Health Policies on Disease Spread
• Studying the Demographic Changes in Aging Populations
• Evaluating the Effects of Gender Diversity on Corporate Performance
• Analyzing the Influence of Social Media on Political Behavior
• Investigating the Correlation Between Happiness and Economic Growth
• Assessing the Factors Affecting Consumer Buying Behavior
• Studying the Dynamics of International Trade Flows
• Exploring the Effects of Income Inequality on Social Mobility

Robotics and Artificial Intelligence

• Evaluating the Performance of Reinforcement Learning Algorithms in Robotics
• Analyzing the Efficiency of Autonomous Navigation Systems
• Investigating Human-Robot Interaction in Collaborative Environments
• Quantifying the Accuracy of Object Detection Algorithms
• Studying the Ethics of Autonomous AI Decision-Making
• Analyzing the Robustness of Machine Learning Models to Adversarial Attacks
• Investigating the Use of AI in Healthcare Diagnosis
• Assessing the Impact of AI on Job Markets
• Evaluating the Efficiency of Natural Language Processing in Chatbots
• Studying the Potential for AI to Enhance Education

Energy and Sustainability

• Examining the Environmental Consequences of Renewable Energy Sources.
• Investigating the Efficiency of Energy Storage Systems
• Quantifying the Benefits of Green Building Technologies
• Studying the Effects of Carbon Pricing on Emissions Reduction
• Examining the Prospect for Carbon Capture and Storage
• Assessing the Sustainability of Food Production Systems
• Investigating the Impact of Electric Vehicles on Urban Air Quality
• Analyzing the Energy Consumption Patterns in Smart Cities
• Studying the Feasibility of Hydrogen as a Clean Energy Carrier
• Exploring Sustainable Agriculture Practices for Crop Yield Improvement

Neuroscience and Psychology

• Evaluating the Cognitive Effects of Video Game Play
• Analyzing Brain Activity During Decision-Making Processes
• Investigating the Neural Correlates of Emotional Regulation
• Quantifying the Impact of Music on Brain Function
• Analyzing the Outcomes of Mindfulness Meditation on Anxiety
• Analyzing Sleep Patterns and Memory Consolidation
• Investigating the Relationship Between Neurotransmitters and Mood
• Assessing the Neural Basis of Addiction
• Evaluating the Effects of Trauma on Brain Structure
• Studying the Brain’s Response to Virtual Reality Environments

Mechanical Engineering

• Analyzing the Efficiency of Heat Exchangers in Power Plants
• Investigating the Wear and Tear of Mechanical Bearings
• Quantifying the Vibrations in Mechanical Systems
• Studying the Aerodynamics of Wind Turbine Blades
• Evaluating the Frictional Properties of Lubricants
• Assessing the Efficiency of Cooling Systems in Electronics
• Investigating the Performance of Internal Combustion Engines
• Analyzing the Impact of Additive Manufacturing on Product Development
• Studying the Dynamics of Fluid Flow in Pipelines
• Exploring the Behavior of Composite Materials in Aerospace Structures

Biomedical Engineering

• Evaluating the Biomechanics of Human Joint Replacements
• Analyzing the Performance of Wearable Health Monitoring Devices
• Investigating the Biocompatibility of 3D-Printed Medical Implants
• Quantifying the Drug Release Rates from Biodegradable Polymers
• Studying the Efficiency of Drug Delivery Systems
• Assessing the Use of Nanoparticles in Cancer Therapies
• Investigating the Biomechanics of Tissue Engineering Constructs
• Analyzing the Effects of Electrical Stimulation on Nerve Regeneration
• Evaluating the Mechanical Properties of Artificial Heart Valves
• Studying the Biomechanics of Human Movement

Civil and Environmental Engineering

• Analyzing the Structural Behavior of Tall Buildings in Seismic Zones
• Investigating the Efficiency of Stormwater Management Systems
• Quantifying the Impact of Green Infrastructure on Urban Flooding
• Studying the Behavior of Soils in Slope Stability Analysis
• Evaluating the Performance of Water Treatment Plants
• Assessing the Sustainability of Transportation Systems
• Investigating the Effects of Climate Change on Infrastructure Resilience
• Analyzing the Environmental Impact of Construction Materials
• Studying the Dynamics of River Sediment Transport
• Exploring the Use of Smart Materials in Civil Engineering Applications

Chemical Engineering

• Evaluating the Efficiency of Chemical Reactors in Pharmaceutical Production
• Analyzing the Mass Transfer Rates in Membrane Separation Processes
• Investigating the Effects of Catalysis on Chemical Reactions
• Quantifying the Kinetics of Polymerization Reactions
• Studying the Thermodynamics of Gas-Liquid Absorption Processes
• Assessing the Efficiency of Adsorption-Based Carbon Capture
• Investigating the Rheological Properties of Non-Newtonian Fluids
• Analyzing the Effects of Surfactants on Foam Stability
• Studying the Mass Transport in Microfluidic Devices
• Exploring the Synthesis of Nanomaterials for Energy Applications

Electrical and Electronic Engineering

• Analyzing the Efficiency of Power Electronics in Electric Vehicles
• Investigating the Performance of Wireless Communication Systems
• Quantifying the Power Consumption of IoT Devices
• Studying the Reliability of Printed Circuit Boards
• Evaluating the Efficiency of Photovoltaic Inverters
• Assessing the Electromagnetic Compatibility of Electronic Devices
• Investigating the Behavior of Antenna Arrays in Beamforming
• Analyzing the Power Quality in Electrical Grids
• Studying the Security of IoT Networks
• Exploring the Use of Machine Learning in Signal Processing

These 200 quantitative research titles offer a diverse array of options to inspire your next STEM research endeavor. Always remember to select a subject that truly captivates your interest and curiosity, as your enthusiasm and curiosity will drive your research to new heights. Good luck with your research journey, STEM student!

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

199+ Quantitative Research Topics For STEM Students to Try Now

Discover engaging Quantitative Research Topics for STEM Students – Explore the world of science, tech, engineering, and math with simplified, fascinating ideas.

Have you ever wondered how science, tech, and math shape our world? You’re not alone! STEM (Science, Technology, Engineering, and Math) is like a treasure chest of discoveries. And the best part? You can be part of it!

Our blog is your path to the exciting world of STEM. We aim to make it interesting, enjoyable, and simple to comprehend. No tricky words, no fancy talk – just simple and exciting stuff.

In this blog, we’ve collected the best quantitative research topics for stem students. Scientists use these numbers to answer questions, and it’s cool!

Do you enjoy learning? We’re here to spark your curiosity and hold your interest.

From exploring nature to solving tech puzzles and uncovering the universe’s secrets, we’ve got it all. Think of it as an adventure, with each topic leading to great discoveries.

So, get ready to dive into STEM.  Let’s learn and explore together, one topic at a time. Your STEM journey starts now!

What Is Quantitative Research? 

Quantitative research involves gathering and studying numerical data. It tries to measure things, count them, or put them into classes that can be counted. For example, a researcher might ask 100 people their age and gender. They would count how many men and women are present and work out the average age.

Quantitative research gives us numbers that help us see patterns, test theories, and predict things. The goal is to be accurate and get precise, measurable results that can be summarized numerically. This type of research aims to remove personal biases.

Tips To Choose Quantitative Research Topics For STEM Students

First, let’s find how to quantitative research topics for STEM students, and then we will move on to the project ideas.

Choose a Topic That Interests You

Picking a research topic you’re genuinely curious or passionate about makes the research process so much more engaging and rewarding. Choosing something that excites you motivates you to push through the hard work.

Look for Gaps in Existing Research

Review academic journals and existing research to find gaps where further study is needed. Look for topics where findings are contradictory or inconclusive. New research could help resolve differences or offer additional insights. Exploring open questions interests the research community.

Consider Real-World Applications

Consider how quantitative research could inform products, services, policies, and processes to improve them. Research with practical implications beyond academia tends to be impactful and worthwhile.

Ensure Quantitative Methods Apply

Not all topics lend themselves well to quantitative analysis. Assess whether statistical numerical methods will work for your research question. If not, qualitative methods may be better.

Find a Unique Angle

Avoid research topics that have already been extensively studied from every angle. Look for a creative, novel way to approach the topic that hasn’t been done before. This will ensure your work is original.

Talk to Knowledgeable People

Discuss ideas with professors, peers, and academics knowledgeable about your field. They might identify poorly researched topics or suggest exciting questions for further inquiry.

Review Coursework

Look back at class assignments, readings, lectures, and textbooks. Note down any topics that stood out as warranting deeper investigation. Build off classwork.

Choose a Manageable Scope

Ensure your topic is focused enough to tackle within the time and resources you have. Overly, broad topics become unmanageable. Define a clear, concise research question.

It is time to uncover the best quantitative research topics for STEM students.

199+ Best Quantitative Research Topics For STEM Students

These are the top most interesting Quantitative Research Topics For STEM Students.

You’ll receive better grades as a result of that.

Biology Quantitative Research Topics For STEM Students

• How do different fertilizers affect how plants grow?
• Does temperature change how fast enzymes work?
• What is the variety of life like in a particular ecosystem over time?
• What genetics underlie a rare disease?
• Is there a link between diet and chronic illness?
• Do some antibiotics work better on bacteria?
• How does pollution impact water life in cities?
• Is there a connection between stress and the immune system?
• How do different fungi grow?
• Do night and day animals behave differently?

Chemistry Quantitative Research Topics For STEM Students

• What affects how fast chemical reactions occur?
• What’s in household cleaners?
• How do catalysts change hydrogen peroxide breakdown?
• How do polymers act in different environments?
• Can different salts dissolve in water?
• What are pH levels like in natural waters?
• Does temperature affect gas density?
• How do acids and bases neutralize?
• How does cooking change food chemicals?
• Do antioxidants help preserve food?

Physics Quantitative Research Topics For STEM Students

• How does light’s angle change reflection?
• What affects a pendulum’s swing?
• How do magnets work in different materials?
• What makes solar cells efficient?
• How do objects move in gravity?
• What affects the speed of sound?
• Does air resistance affect falling objects?
• How do particle states differ?
• Are superconductors different at low temperatures?
• Does heat change electrical conductivity?

Computer Science Quantitative Research Topics For STEM Students

• Do programming languages affect efficiency?
• What security holes exist in operating systems?
• What algorithms sort data best?
• How can network routing be optimized?
• How well do encryption methods secure data?
• Can machine learning ID images?
• Does parallel processing speed computing?
• How do data structures affect memory?
• What makes a good app interface?
• Can cybersecurity tools spot threats?

Environmental Science Quantitative Research Topics For STEM Students

• Does deforestation change the local climate?
• Can recycling reduce waste?
• How does urban growth impact wildlife?
• Is there a link between pollution and illness?
• Do renewable energies cut emissions?
• How does water quality differ between cities and rural areas?
• Are oceans and coral bleaching connected?
• How does climate change impact plants?
• How well do wastewater treatments work?
• How do invasive species affect ecosystems?

Mathematics Quantitative Research Topics For STEM Students

• Are there patterns in prime numbers?
• What are the properties of fractals?
• How are lottery numbers distributed?
• How does math relate to the real world?
• Can math model disease spread?
• How well do integration methods work?
• How do calculus sequences and series behave?
• What are geometrical shape properties?
• How does graph theory apply to social networks?
• Can statistics analyze voting patterns?

Engineering Quantitative Research Topics For STEM Students

• How efficient are renewable energies?
• What building materials are sturdiest?
• What aircraft designs are most aerodynamic?
• How stable are different bridge types?
• Can materials help purify water?
• What irrigation systems work best in agriculture?
• How do cities’ transit systems compare?
• What cooling systems work best for electronics?
• What car safety features work best?
• What construction methods are most sustainable?

Health Sciences Quantitative Research Topics For STEM Students

• Is exercise linked to heart health?
• How do diets affect weight loss?
• Do sleep patterns affect thinking?
• How well do vaccines work?
• Do genes influence disease risk?
• Which physical therapies work best?
• Is there a link between air quality and respiratory health?
• How does stress management affect mental health?
• Does telemedicine improve outcomes?
• Can wearables effectively monitor vital signs?

Geology Quantitative Research Topics For STEM Students

• What Geological Factors Cause Earthquakes?
• How do rocks erode?
• How does volcanism impact ecosystems?
• What’s the history of a region?
• Does climate change affect glaciers?
• How has sea level changed over time?
• What minerals are in different soils?
• How do caves form?
• How does geology affect groundwater?
• How does geology relate to resource extraction?

Materials Science Quantitative Research Topics For STEM Students

• How do semiconductors conduct electricity?
• What coatings are most durable?
• Which insulators resist heat flow?
• What magnetic properties are helpful in electronics?
• How does radiation affect spacecraft materials?
• How do materials change under stress?
• What alloys resist corrosion?
• What can nanomaterials do?
• How do polymers behave in different environments?
• What properties have 3D printed materials?

Astronomy Quantitative Research Topics For STEM Students

• What are the properties of exoplanets?
• How do solar system bodies interact?
• How do stars evolve and affect galaxies?
• What does cosmic microwave radiation reveal about the early universe?
• What are black holes’ properties and gravitational effects?
• How fast is the universe expanding?
• What is dark matter?
• What have telescopes revealed about the universe?
• What are the planets’ geological features?
• Could there be life on Mars or Europa?

Robotics Quantitative Research Topics For STEM Students

• What locomotion mechanisms work best in robots?
• How can swarm robotics enable collaboration?
• How is AI being developed for autonomous robots?
• How are robotic arms designed and controlled?
• How are robots used in disaster response?
• Are robot-assisted surgeries effective?
• What are the ethics of AI robots?
• How do autonomous vehicles behave?
• How are robots used in space?
• Could humans and robots productively collaborate?

Social Sciences Quantitative Research Topics For STEM Students

• How does social media affect relationships?
• What parenting styles influence child development?
• Is there a link between socioeconomics and education?
• How does culture influence behavior?
• What psychology underlies online consumerism?
• Can interventions reduce addiction?
• What is the impact of immigration policies?
• How do people cope after crises?
• Can social programs reduce poverty?
• How do gender and identity affect workplaces?

Economics Quantitative Research Topics For STEM Students

• How does inflation relate to economic growth?
• How do fiscal policies affect income inequality?
• What tax systems generate the most revenue?
• What are the economic effects of trade deals?
• What drives e-commerce purchases?
• Do environmental policies improve economic outcomes?
• How do interest rates affect investment?
• What are the economic impacts of healthcare reforms?
• How does technology affect labor markets?
• What is the global impact of financial crises?

Agriculture Quantitative Research Topics For STEM Students

• What irrigation methods work best?
• How does climate change impact crop yields?
• Can organic farming improve soil health?
• What genetic traits confer pest/disease resistance?
• What environmental effects do farming techniques have?
• How do growing conditions alter nutritional value?
• Can data analytics and precision agriculture improve yields?
• Are small farms economically sustainable?
• How do supply chain issues impact food security?
• Could vertical farming work in cities?

Quantitative Research Topic Ideas For STEM Students In The Philippines:

• Typhoon Training and Resilience
• Air Quality in Manila
• Online Learning and Math Scores
• Solar Power in Rural Villages
• Food and School Performance
• Local Plants for Medicine
• Water Quality in Rivers
• Mangroves and Coastal Protection
• Dengue Fever in Cities
• Waste Management in Cities

Experimental Quantitative Research Topics For STEM Students

• Testing Bridge Designs
• Wind Turbine Prototype Efficiency
• Battery Storage Capacity
• Water Filtration Methods
• Crop Growth With Organic Fertilizers
• Material Strength Under Stress
• Rocket Engine Performance
• Artificial Intelligence Image Recognition
• Electric Car Energy Use
• Greenhouse Gas Reduction Strategies

30 Quantitative Research Topic Ideas For STEM Students

• Investigating the properties and applications of novel materials created through 3D printing.
• Studying the effectiveness of virtual reality simulations for medical training programs.
• Analyzing the feasibility and methods for mineral extraction from asteroids.
• Developing machine learning algorithms to improve navigation in self-driving cars.
• Testing the use of drone systems for disaster response and relief operations.
• Implementing augmented reality to enhance manufacturing and assembly processes.
• Evaluating efficiency and optimal positioning for offshore wind farms.
• Comparing methods and materials for recycling different types of plastics.
• Examining the unique properties of graphene for uses in electronics and composites.
• Assessing the risks and solutions for commercial space travel programs.
• Designing and deploying rainwater harvesting systems in urban environments.
• Creating biodegradable packaging materials from sustainable sources.
• Building neural networks to predict stock market trends and patterns.
• Using aquaponics systems for urban farming in limited spaces.
• Leveraging AI algorithms for early detection of diseases like cancer.
• Developing applications to take advantage of quantum computing breakthroughs.
• Analyzing Martian soil for viability in growing crops for future colonies.
• Optimizing traffic flow patterns on highways to reduce congestion.
• Evaluating energy use and optimization in smartphones and devices.
• Converting ocean wave energy into usable electricity.
• Printing 3D biocompatible tissues and organs for transplants.
• Improving cybersecurity through new encryption and authentication techniques.
• Using solar power to operate desalination systems for clean water access.
• Editing plant genes with CRISPR to improve crop yields.
• Building fully electric aircraft for regional commercial flights.
• Using tiny microrobots for targeted drug delivery and therapies.
• Developing robotic exoskeletons to improve mobility for disabled individuals.
• Implementing blockchain technology to securely track global supply chains.
• Designing floating wind turbines for offshore energy generation.
• Creating a hyperloop system for high-speed terrestrial transportation.

Final Thoughts,

In conclusion, quantitative research is valuable for STEM students. It lets them test ideas using statistics, experiments, and measurable data. This allows students to move beyond theory and into evidence-based findings. With quantitative methods, students can verify ideas and expand their knowledge. 

Mastering these methods prepares STEM students to innovate and lead in the future. However, they must use quantitative research ethically and objectively. If used properly, it can lead to discoveries that advance STEM fields. Quantitative research gives STEM students concrete insights to deepen their scientific understanding. 

The numeric precision of quantitative data enables final conclusions to be drawn. By learning quantitative skills, STEM students position themselves at the forefront of creation. Yet, they must analyze results in a balanced way. Overall, quantitative research is a strong tool that can unlock breakthroughs when utilized judiciously.

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

STEM Research Topics for an Educational Paper

STEM stands for Science, Technology, Engineering, and Math. It is essential for learning and discovery, helping us understand the world, solve problems, and think critically. STEM research goes beyond classroom learning, allowing us to explore specific areas in greater detail. But what is a good topic for research STEM?

Here are a few examples to get you thinking:

• Can computers be used to help doctors diagnose diseases?
• How can we build houses that are strong and don't hurt the environment?
• What are the mysteries of space that scientists haven't figured out yet?

Why is STEM important? STEM is everywhere—from the phones we use to the medicine that keeps us healthy. Learning about these fields helps us build a better future by developing new technologies, protecting our environment, and solving critical problems.

Now that you understand the basics, let's dive into some of the most interesting and important research topics you can choose from.

The List of 260 STEM Research Topics

The right topic will keep you engaged and motivated throughout the writing process. However, with so many areas to explore and problems to solve, finding a unique topic can seem a bit tough. To help you with this, we have compiled a list of 260 STEM research topics. This list aims to guide your decision-making and help you discover a subject that holds significant potential for impact. And if you need further help writing about your chosen topic, feel free to hire someone to write a paper on our professional platform!

Feeling Overwhelmed by Your STEM Research Paper?

Don't go it alone! Our team of seasoned STEM Ph.D.s is here to be your assistant!

Physics Research Topics

Physics, the study of matter, energy, and their interactions, is the foundation for understanding our universe. Here are 20 topics to ignite your curiosity:

• Can we develop more efficient solar panels to capture and utilize solar energy for a sustainable future?
• How can we further explore the fundamental building blocks of matter, like quarks and leptons, to understand the nature of our universe?
• How can we detect and understand dark matter and dark energy, which make up most of the universe's mass and energy but remain a mystery?
• What happens to matter and energy when they enter a black hole?
• How can we reconcile the theories of quantum mechanics and general relativity to understand gravity at the atomic level?
• How can materials with zero electrical resistance be developed and used for more efficient power transmission and next-generation technologies?
• What were the conditions of the universe moments after the Big Bang?
• How can we manipulate and utilize sound for applications in areas like medical imaging and communication?
• How does light behave as both a wave and a particle?
• Can we harness the power of nuclear fusion, the process that powers stars, to create a clean and sustainable energy source for the future?
• How can physics principles be used to understand and predict the effects of climate change and develop solutions to mitigate its impact?
• Can we explore new physics concepts to design more efficient and sustainable aircraft?
• What is the fundamental nature of magnetism?
• How can we develop new materials with specific properties like superconductivity, high strength, or self-healing capabilities?
• How do simple toys like pendulums or gyroscopes demonstrate fundamental physics concepts like motion and energy transfer?
• How do physics principles like aerodynamics, momentum, and force transfer influence the performance of athletes and sports equipment?
• What is the physics behind sound waves that allow us to hear and appreciate music?
• How do technologies like X-rays, MRIs, and CT scans utilize physics principles to create images of the human body for medical diagnosis?
• How do waves, currents, and tides behave in the ocean?
• How do basic physics concepts like friction, gravity, and pressure play a role in everyday activities like walking, riding a bike, or playing sports?

Use our physics helper to write a paper on any of these topics of your choice!

Chemistry Research Topics

If you're curious about the world around you at the molecular level, here are 20 intriguing topic questions for you:

• Can we create chemical reactions that are kinder to the environment?
• How can we design new drugs to fight diseases more effectively?
• Is it possible to develop materials with properties never seen before?
• Can we store energy using chemical reactions for a sustainable future?
• What's the chemistry behind creating delicious and nutritious food?
• Can chemistry help us analyze evidence and solve crimes more efficiently?
• Are there cleaner ways to power our vehicles using chemistry?
• How can we reduce plastic pollution with innovative chemical solutions?
• What chemicals influence our brain function and behavior?
• What exciting new applications can we discover for versatile polymers?
• What's the science behind the fascinating world of scents?
• How can we develop effective methods for purifying water for safe consumption?
• Can we explore the potential of nanochemistry to create revolutionary technologies?
• What chemicals are present in the air we breathe, and how do they affect our health?
• Why do objects have different colors? Can we explain it through the lens of chemistry?
• Do natural catalysts like enzymes hold the key to more efficient chemical processes?
• Can we use chemistry to analyze historical objects and uncover their stories?
• What's the science behind the beauty products we use every day?
• Are artificial sweeteners and flavors safe for consumption?
• What chemicals are present in space, and how do they contribute to our universe's composition?

Engineering Research Topics

The world of engineering is all about applying scientific knowledge to solve practical problems. Here are some thought-provoking questions to guide you:

• Can we design robots that can assist us in complex surgeries?
• How can we create self-driving cars that are safe and reliable?
• Is it possible to build sustainable cities that minimize environmental impact?
• What innovative materials can we develop for stronger and more resilient buildings?
• How can we harness renewable energy sources like wind and solar more efficiently?
• Can we design more sustainable and eco-friendly water treatment systems?
• What technologies can improve communication and connectivity, especially in remote areas?
• How can we create next-generation prosthetics that provide a natural feel and function?
• Is it possible to engineer solutions for food security and sustainable agriculture?
• What innovative bridges and transportation systems can we design for smarter cities?
• How can we engineer safer and more efficient methods for space exploration?
• Can we develop robots that can perform hazardous tasks in dangerous environments?
• Is it possible to create new manufacturing processes that minimize waste and pollution?
• How can we engineer smarter and more efficient power grids to meet our energy demands?
• What innovative solutions can we develop to mitigate the effects of climate change?
• Can we design more accessible technologies that improve the lives of people with disabilities?
• How can we engineer better disaster preparedness and response systems?
• Is it possible to create sustainable and efficient methods for waste management?
• What innovative clothing and protective gear can we engineer for extreme environments?
• Can we develop new technologies for faster and more accurate medical diagnostics?

Mathematics Research Topics

Mathematics, the language of patterns and relationships, offers endless possibilities for exploration. While you ask us to do my math homework for me online , you can choose the topic for your math paper below.

• Can we develop new methods to solve complex mathematical problems more efficiently?
• Is there a hidden mathematical structure behind seemingly random events?
• How can we apply mathematical models to understand and predict real-world phenomena?
• Are there undiscovered prime numbers waiting to be found, stretching the boundaries of number theory?
• Can we develop new methods for data encryption and security based on advanced mathematical concepts?
• How can we utilize game theory to understand competition, cooperation, and decision-making?
• Can we explore the fascinating world of fractals and their applications in various fields?
• Is it possible to solve long standing mathematical problems like the Goldbach conjecture?
• How can we apply topology to understand the properties of shapes and spaces?
• Can we develop new mathematical models for financial markets and risk analysis?
• What role does cryptography play in the future of secure communication?
• How can abstract algebra help us solve problems in other areas of mathematics and science?
• Is it possible to explore the connections between mathematics and computer science for groundbreaking discoveries?
• Can we utilize calculus to optimize processes and solve problems in engineering and physics?
• How can mathematical modeling help us understand and predict weather patterns?
• Is it possible to develop new methods for solving differential equations?
• Can we explore the applications of set theory in various branches of mathematics?
• How can mathematical logic help us analyze arguments and ensure their validity?
• Is it possible to apply graph theory to model complex networks like social media or transportation systems?
• Can we explore the fascinating world of infinity and its implications for our understanding of numbers and sets?

STEM Topics for Research in Biology

Biology is the amazing study of living things, from the tiniest creatures to giant ecosystems. If you're curious about the world around you, here are 20 interesting research topics to explore:

• Can we change plants to catch more sunlight and grow better, helping us get food in a more eco-friendly way?
• How do animals like whales or bees use sounds or dances to chat with each other?
• Can tiny living things in our gut be used to improve digestion, fight sickness, or even affect our mood?
• How can special cells called stem cells be used to repair damaged organs or tissues, leading to brand-new medical treatments?
• What happens inside our cells that makes us age, and can we possibly slow it down?
• How do internal clocks in living things influence sleep, how their body works, and overall health?
• How does pollution from things like tiny plastic pieces harm sea creatures and maybe even us humans?
• Can we understand how our brains learn and remember things to create better ways of teaching?
• Explore the relationships between different species, like clownfish and anemones, where both creatures benefit.
• Can we use living things like bacteria to make new, eco-friendly materials like bioplastics for different uses?
• How similar or different are identical twins raised in separate environments, helping us understand how genes and surroundings work together?
• Can changing crops using science be a solution to hunger and not having enough healthy food in some countries?
• How do viruses change and spread, and how can we develop better ways to fight new viruses that appear?
• Explore how amazing creatures like fireflies make their own light and see if there are ways to use this knowledge for other things.
• What is the purpose of play in animals' lives, like helping them grow, socialize, or even learn?
• How can tools like drones, special cameras from a distance, or other new technology be used to help protect wildlife?
• How can we crack the code of DNA to understand how genes work and their role in different diseases?
• As a new science tool called CRISPR lets us change genes very precisely, what are the ethical concerns and possible risks involved?
• Can spending time in nature, like forests, improve how we feel mentally and physically?
• What signs could we look for to find planets with potential life on them besides Earth?

STEM Topics for Research in Robotics

Robotics is a great area for exploration. Here is the topics list that merely scratches the surface of the exciting possibilities in robotics research.

• How can robots be programmed to make their own decisions, like self-driving cars navigating traffic?
• How can robots be equipped with sensors to "see" and understand their surroundings?
• How can robots be programmed to move with precision and coordination, mimicking human actions or performing delicate tasks?
• Can robots be designed to learn and improve their skills over time, adapting to new situations?
• How can multiple robots work together seamlessly to achieve complex tasks?
• How can robots be designed to assist people with disabilities?
• How can robots be built to explore the depths of oceans and aid in underwater endeavors?
• How can robots be designed to fly for tasks like search and rescue or environmental monitoring?
• Can robots be built on an incredibly tiny scale for medical applications or super-precise manufacturing?
• How can robots be used to assist surgeons in operating rooms?
• How can robots be designed to explore space and assist astronauts?
• How can robots be used in everyday life, helping with chores or providing companionship?
• How can robots be designed by mimicking the movement and abilities of animals?
• What are the ethical considerations in the development and use of robots?
• How can robots be designed to interact with humans in a safe and user-friendly way?
• How can robots be used in agriculture to automate tasks?
• How can robots be used in educational settings to enhance learning?
• How will the rise of robots impact the workforce?
• How can robots be made more affordable and accessible?
• What exciting advancements can we expect in the future of robotics?

Experimental Research Topics for STEM Students

Here are some great topics that can serve as your starting point.

• Test how different light intensities affect plant growth rate.
• Compare the effectiveness of compost and fertilizer on plant growth.
• Experiment with different materials for water filtration and compare their efficiency.
• Does playing specific types of music affect plant growth rate?
• Test the strength of different bridge designs using readily available materials.
• Find the optimal angle for solar panels to maximize energy production.
• Compare the insulating properties of different building materials.
• Test the effectiveness of different materials (straw, feathers) in absorbing oil spills.
• Explore the impact of social media algorithms on user behavior.
• Evaluate the effectiveness of different cybersecurity awareness training methods.
• Develop and test a mobile app for learning a new language through interactive exercises.
• Experiment with different blade shapes to optimize wind turbine energy generation.
• Test different techniques to improve website loading speed.
• Build a simple air quality monitoring system using low-cost sensors.
• Investigate how different light wavelengths affect the growth rate of algae.
• Compare the effectiveness of different food preservation methods (drying, salting) on food spoilage.
• Test the antibacterial properties of common spices.
• Investigate the impact of sleep duration on learning and memory retention.
• Research the development of biodegradable packaging materials from natural resources like cellulose or mushroom mycelium.
• Compare the effectiveness of different handwashing techniques in reducing bacteria.

Qualitative Research Topics for STEM Students

Qualitative research delves into the experiences, perceptions, and opinions surrounding STEM fields.

• How do stellar STEM teachers inspire students to become scientists, engineers, or math whizzes?
• As artificial intelligence advances, what are people's biggest concerns and hopes?
• What are the hurdles women in engineering face, and how can we make the field more welcoming?
• Why do some students freeze up during math tests, and how can we build their confidence?
• How do different cultures approach protecting the environment?
• What makes scientists passionate about their work, and what keeps them motivated?
• When creating new technology, what are the ethical dilemmas developers face?
• What are the best ways to explain complex scientific concepts to everyday people?
• What fuels people's fascination with exploring space and sending rockets beyond Earth?
• How are STEM jobs changing, and what skills will be crucial for the future workforce?
• Would people be comfortable with robots becoming our companions, not just machines?
• How can we create products that everyone can use, regardless of their abilities?
• What makes some people hesitant about vaccines while others readily get them?
• What motivates people to volunteer their time and contribute to scientific research?
• Does learning to code early on give kids an edge in problem-solving?
• Can games and activities make learning math less intimidating and more enjoyable?
• What are people's thoughts on the ethical implications of using new technology to change genes?
• What motivates people to adopt sustainable practices and protect the environment?
• What are people's hopes and anxieties about using technology in medicine and healthcare?
• Why do students choose to pursue careers in science, technology, engineering, or math?

Consider using our research paper writer online to create a perfectly-researched and polished paper.

Quantitative Research Topics for STEM Students

Quantitative research uses data and statistics to uncover patterns and relationships in STEM fields.

• Does the type of music played affect plant growth rate?
• Investigate the relationship between light intensity and the rate of photosynthesis in plants.
• Test the impact of bridge design on its weight-bearing capacity.
• Analyze how the angle of solar panels affects their energy production.
• Quantify the impact of different website optimization techniques on loading speed.
• Explore the correlation between social media use and user engagement metrics (likes, shares).
• Test the effectiveness of various spices in inhibiting bacterial growth.
• Investigate the relationship between sleep duration and memory retention in students.
• Compare the effectiveness of different handwashing techniques in reducing bacterial count.
• Quantify the impact of play-based learning on children's problem-solving skills.
• Measure the efficiency of different materials in filtering microplastics from water samples.
• Compare the impact of compost and traditional fertilizer on plant growth yield.
• Quantify the insulating properties of various building materials for energy efficiency.
• Evaluate the effectiveness of a newly designed learning app through user performance data.
• Develop and test a low-cost sensor system to measure air quality parameters.
• Quantify the impact of different light wavelengths on the growth rate of algae cultures.
• Compare the effectiveness of different food preservation methods (drying, salting) on food spoilage rates.
• Analyze the impact of a website redesign on user engagement and retention metrics.
• Quantify the effectiveness of different cybersecurity awareness training methods through simulated hacking attempts.
• Investigate the relationship between website color schemes and user conversion rates (purchases, sign-ups).

Environmental Sciences Research Topics for STEM students

These environmental science topics explore the connections between our planet's ecosystems and the influence of humans.

• Can we track microplastic movement (water, soil, organisms) to understand environmental accumulation?
• How can we seamlessly integrate renewable energy (solar, wind) into existing power grids?
• Green roofs, urban forests, permeable pavements: their impact on cityscapes and environmental health.
• Sustainable forest management: balancing timber production with biodiversity conservation.
• Rising CO2: impact on ocean acidity and consequences for marine ecosystems.
• Nature's clean-up crew: plants/microbes for decontaminating polluted soil and water.
• Evaluating conservation strategies (protected areas, patrols) for endangered species.
• Citizen science: potential and limitations for environmental monitoring and data collection.
• Circular economy: reducing waste, promoting product reuse/recycling in an eco-friendly framework.
• Water conservation strategies: rainwater harvesting, wastewater treatment for a sustainable future.
• Agricultural practices (organic vs. conventional): impact on soil health and water quality.
• Lab-grown meat: environmental and ethical implications of this alternative protein source.
• A potential solution for improving soil fertility and carbon sequestration.
• Mangrove restoration: effectiveness in mitigating coastal erosion and providing marine habitat.
• Air pollution control technologies: investigating efficiency in reducing emissions.
• Climate change and extreme weather events: the link between a warming planet and weather patterns.
• Responsible disposal and recycling solutions for electronic waste.
• Environmental education: effectiveness in fostering pro-environmental attitudes and behaviors.
• Sustainable fashion: exploring alternatives like organic materials and clothing recycling.
• Smart cities: using technology to improve environmental sustainability and resource management.

Check out more science research topics in our special guide!

Health Sciences Research Topic Ideas for STEM Students

If you're curious about how the body works and how to stay healthy, these research topics are for you:

• Can changing your diet affect your happiness by influencing gut bacteria?
• Can your genes help doctors create a treatment plan just for you?
• Can viruses that attack bacteria be a new way to fight infections?
• Does getting enough sleep help students remember things better?
• Can listening to music help people feel less pain during medical procedures?
• Can wearable devices warn people about health problems early?
• Can doctors use technology to treat people who live far away?
• Can meditation techniques help people feel calmer?
• Can staying active keep your brain healthy as you age?
• Can computers help doctors make better diagnoses?
• Can looking at social media make people feel bad about their bodies?
• Why are some people hesitant to get vaccinated, and how can we encourage them?
• Can scientists create materials for implants that the body won't reject?
• Can we edit genes to cure diseases caused by faulty genes?
• Does dirty air make it harder to breathe?
• Can therapy offered online be just as helpful as in-person therapy?
• Can what you eat affect your chances of getting cancer?
• Can we use 3D printing to create organs for transplant surgeries?
• Do artificial sweeteners harm the good bacteria in your gut?
• Can laughter actually be good for your body and mind?

Interdisciplinary STEM Research Topics

Here are 20 thought-provoking questions that explore the exciting intersections between different areas of science, technology, engineering, and math:

• Can video games become educational tools, boosting memory and learning for all ages?
• Can artificial intelligence compose music that evokes specific emotions in listeners?
• Could robots be designed to assist surgeons in complex operations with greater precision?
• Does virtual reality therapy hold promise for treating phobias and anxiety?
• Can big data analysis predict and prevent natural disasters, saving lives?
• Is there a link between dirty air and the rise of chronic diseases in cities?
• Can we develop strong, eco-friendly building materials for a sustainable future?
• Could wearable tech monitor athletes' performance and prevent injuries?
• Will AI advancements lead to the creation of conscious machines, blurring the line between humans and technology?
• Can social media platforms be designed to promote positive interactions and reduce online bullying?
• Can personalized learning algorithms improve educational outcomes for all students?
• Could neuroimaging technologies unlock the secrets of human consciousness?
• Will advancements in gene editing allow us to eradicate inherited diseases?
• Is there a connection between gut bacteria and mental health issues like depression?
• Can drones be used for efficient and safe delivery of medical supplies in remote areas?
• Is there potential for using artificial intelligence to design life-saving new drugs?
• Could advances in 3D printing revolutionize organ transplantation procedures?
• Will vertical farming techniques offer a sustainable solution to food security concerns?
• Can we harness the power of nanotechnology to create self-cleaning and self-repairing materials?
• Will advancements in space exploration technology lead to the discovery of life on other planets?

STEM Topics for Research in Technology

These research topics explore how technology can solve problems, make life easier, and unlock new possibilities:

• How can self-driving cars navigate busy roads safely, reducing accidents?
• In what ways can robots explore the deep ocean and unlock its mysteries?
• How might technology automate tasks in our homes, making them more efficient and comfortable?
• What advancements are possible for directly controlling computers with our thoughts using brain-computer interfaces?
• How can we develop stronger cybersecurity solutions to protect our online information and devices from hackers?
• What are the methods for harnessing natural resources like wind and sun for clean energy through renewable energy sources?
• How can wearable translators instantly translate languages, breaking down communication barriers?
• In what ways can virtual reality allow us to explore amazing places without leaving home?
• How can games and apps make learning more engaging and effective through educational tools?
• What technologies can help us reduce the amount of food that gets thrown away?
• How can online platforms tailor education to each student's needs with personalized learning systems?
• What new technologies can help us travel farther and learn more about space?
• How can desalination techniques turn saltwater into clean drinking water for everyone?
• What are the ways drones can deliver aid and supplies quickly and efficiently in emergencies?
• How can robots allow doctors to remotely examine and treat patients in distant locations?
• What possibilities exist for 3D printers to create customized medical devices and prosthetics?
• How can technology overlay information onto the real world, enhancing our learning and experiences with augmented reality tools?
• What methods can we use for secure access to devices and information with biometric security systems?
• How can AI help us develop strategies to combat climate change?
• In what ways can we ensure technology benefits everyone and is used ethically?

While you're researching these STEM topics, learn more about how to get better at math in our dedicated article.

How Do You Choose a Research Topic in STEM?

Choosing research topics for STEM students can be an exciting task. Here are several tips to help you find a topic that is both unique and meaningful:

• Identify Your Interests: Start by considering what areas of STEM excite you the most. Do you have a passion for renewable energy, artificial intelligence, biomedical engineering, or environmental science? Your interest in the subject will keep you motivated throughout the research process.
• Review Current Research: Conduct a thorough review of existing research in your field. Read recent journal articles, attend seminars, and follow relevant news. This will help you understand what has already been studied and where there might be gaps or opportunities for new research.
• Consult with Experts: Talking to professors, advisors, or professionals in your field can provide valuable insights. They can help you identify important research questions, suggest resources, and guide you toward a feasible and impactful topic.
• Consider Real-World Problems: Think about the practical applications of your research. Focus on real-world problems that need solutions. This not only makes your research more relevant but also increases its potential impact.
• Narrow Down Your Focus: A broad topic can be overwhelming and difficult to manage. Narrow down your focus to a specific question or problem. This will make your research more manageable and allow you to delve deeper into the subject.
• Assess Feasibility: Consider the resources and time available to you. Ensure that you have access to the necessary equipment, data, and expertise to complete your research. A feasible topic will help you stay on track and complete your project successfully.
• Stay Flexible: Be open to adjusting your topic as you delve deeper into your research. Sometimes, initial ideas may need refinement based on new findings or practical constraints.

These research topics have shown us a glimpse of the exciting things happening in science, technology, engineering, and math (STEM). From understanding our planet to figuring out how the human body works, STEM fields are full of new things to learn and problems to solve.

Don't be afraid to challenge ideas and work with others to find answers. The future of STEM belongs to people who think carefully, try new things, and want to make the world a better place. Remember the famous scientist Albert Einstein, who said, "It is important never to stop asking questions. Curiosity has its own reason for existing."

Drowning in Data Analysis or Struggling to Craft a Strong Argument?

Don't let a challenging STEM research paper derail your academics!

What is STEM in Research?

What are the keys to success in stem fields, what should women in stem look for in a college.

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

Trending Topic Research: STEM . (n.d.). Www.aera.net. Retrieved July 15, 2024, from https://www.aera.net/Newsroom/Trending-Topic-Research-Files/Trending-Topic-Research-STEM

• 2023 AERA in the News
• 2022 AERA in the News
• 2021 AERA In the News
• 2020 AERA In the News
• 2019 AERA In the News
• 2018 AERA In the News
• 2017 AERA In the News
• 2016 AERA In the News
• 2015 AERA In the News
• 2014 AERA In the News
• 2013 AERA In the News
• 2023 AERA News Releases
• 2022 AERA News Releases
• 2021 AERA News Releases
• 2020 AERA News Releases
• 2019 AERA News Releases
• 2018 AERA News Releases
• 2017 AERA News Releases
• 2016 AERA News Releases
• 2015 AERA News Releases
• 2014 AERA News Releases
• 2013 AERA News Releases
• 2012 AERA News Releases
• 2011 News Releases
• 2010 News Releases
• 2009 News Releases
• 2008 News Releases
• 2007 News Releases
• 2006 News Releases
• 2005 News Releases
• 2004 News Releases
• AERA Research Archive
• Trending Topic Research Files
• Communication Resources for Researchers
• AERA Highlights Archival Issues
• AERA Video Gallery

Share 

	STEM Science, Technology Engineering, and Mathematics (STEM) is one of the most talked about topics in education, emphasizing research, problem solving, critical thinking, and creativity. The following compendium of open-access articles are inclusive of all substantive AERA journal content regarding STEM published since 1969. This page will be updated as new articles are published.  Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll October 2023 Researchers found that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Robert R. Martinez, Jr., James M. Ellis September 2023 Researchers found that STEM-CR involves four related yet distinct dimensions of Think, Know, Act, and Go. Results also demonstrated soundness of these STEM-CR dimensions by race and gender (key learning skills and techniques/Act). Rosemary J. Perez, Rudisang Motshubi, Sarah L. Rodriguez April 2023 Researchers found that because participants did not attend to how racism and White supremacy fostered negative climate, their strategies (e.g., increased recruitment, committees, workshops) left systemic racism intact and (un)intentionally amplified labor for racially minoritized graduate students and faculty champions who often led change efforts with little support. Kathleen Lynch, Lily An, Zid Mancenido , July 2022 Researchers found an average weighted impact estimate of +0.10 standard deviations on mathematics achievement outcomes. Luis A. Leyva, R. Taylor McNeill, B R. Balmer, Brittany L. Marshall, V. Elizabeth King, Zander D. Alley , May 2022 Researchers address this research gap by exploring four Black queer students’ experiences of oppression and agency in navigating invisibility as STEM majors. Angela Starrett, Matthew J. Irvin, Christine Lotter, Jan A. Yow , May 2022 Researchers found that the more place-based workforce development adolescents reported, the higher their expectancy beliefs, STEM career interest, and rural community aspirations. Matthew H. Rafalow, Cassidy Puckett May 2022 Researchers found that educational resources, like digital technologies, are also sorted by schools. Pamela Burnard, Laura Colucci-Gray, Carolyn Cooke  April 2022 This article makes a case for repositioning STEAM education as democratized enactments of transdisciplinary education, where arts and sciences are not separate or even separable endeavors. Salome Wörner, Jochen Kuhn, Katharina Scheiter , April 2022 Researchers conclude that for combining real and virtual experiments, apart from the individual affordances and the learning objectives of the different experiment types, especially their specific function for the learning task must be considered. Seung-hyun Han, Eunjung Grace Oh, Sun “Pil” Kang April 2022 Researchers found that the knowledge sharing mechanism and student learning outcomes can be explained in terms of their social capital within social networks. Barbara Schneider, Joseph Krajcik, Jari Lavonen, Katariina Salmela-Aro, Christopher Klager, Lydia Bradford, I-Chien Chen, Quinton Baker, Israel Touitou, Deborah Peek-Brown, Rachel Marias Dezendorf, Sarah Maestrales, Kayla Bartz March 2022  Researchers found that improving secondary school science learning is achievable with a coherent system comprising teacher and student learning experiences, professional learning, and formative unit assessments that support students in “doing” science. Paulo Tan, Alexis Padilla, Rachel Lambert , March 2022 Researchers found that studies continue to avoid meaningful intersectional considerations of race and disability. Ta-yang Hsieh, Sandra D. Simpkins March 2022 Researchers found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Jonté A. Myers, Bradley S. Witzel, Sarah R. Powell, Hongli Li, Terri D. Pigott, Yan Ping Xin, Elizabeth M. Hughes , February 2022 Findings of meta-regression analyses showed several moderators, such as sample composition, group size, intervention dosage, group assignment approach, interventionist, year of publication, and dependent measure type, significantly explained heterogeneity in effects across studies. Grace A. Chen, Ilana S. Horn , January 2022 The findings from this review highlight the interconnectedness of structures and individual lives, of the material and ideological elements of marginalization, of intersectionality and within-group heterogeneity, and of histories and institutions. Victor R. Lee, Michelle Hoda Wilkerson, Kathryn Lanouette December 2021 Researchers offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data. Ido Davidesco, Camillia Matuk, Dana Bevilacqua, David Poeppel, Suzanne Dikker December 2021 This essay critically evaluates the value added by portable brain technologies in education research and outlines a proposed research agenda, centered around questions related to student engagement, cognitive load, and self-regulation. Guan K. Saw, Charlotte A. Agger December 2021 Researchers found that during high school rural and small-town students shifted away from STEM fields and that geographic disparities in postsecondary STEM participation were largely explained by students’ demographics and precollege STEM career aspirations and academic preparation. Kyle M. Whitcomb, Sonja Cwik, Chandralekha Singh November 2021 Researchers found that on average across all years of study, underrepresented minority (URM) students experience a larger penalty to their mean overall and STEM GPA than even the most disadvantaged non-URM students. Lana M. Minshew, Amanda A. Olsen, Jacqueline E. McLaughlin , October 2021 Researchers found that the CA framework is a useful and effective model for supporting faculty in cultivating rich learning opportunities for STEM graduate students. Xin Lin, Sarah R. Powell , October 2021 Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Christine L. Bae, Daphne C. Mills, Fa Zhang, Martinique Sealy, Lauren Cabrera, Marquita Sea , September 2021 This systematic literature review is guided by a complex systems framework to organize and synthesize empirical studies of science talk in urban classrooms across individual (student or teacher), collective (interpersonal), and contextual (sociocultural, historical) planes. Toya Jones Frank, Marvin G. Powell, Jenice L. View, Christina Lee, Jay A. Bradley, Asia Williams  August/September 2021 Researchers found that teachers’ experiences of microaggressions accounted for most of the variance in our modeling of teachers’ thoughts of leaving the profession. Ebony McGee, Yuan Fang, Yibin (Amanda) Ni, Thema Monroe-White August 2021 Researchers found that 40.7% of the respondents reported that their career plans have been affected by Trump’s antiscience policies, 54.5% by the COVID-19 pandemic. Martha Cecilia Bottia, Roslyn Arlin Mickelson, Cayce Jamil, Kyleigh Moniz, Leanne Barry , May 2021 Consistent with cumulative disadvantage and critical race theories, findings reveal that the disproportionality of racially minoritized students in STEM is related to their inferior secondary school preparation; the presence of racialized lower quality educational contexts; reduced levels of psychosocial factors associated with STEM success; less exposure to inclusive and appealing curricula and instruction; lower levels of family social, cultural, and financial capital that foster academic outcomes; and fewer prospects for supplemental STEM learning opportunities. Policy implications of findings are discussed. Iris Daruwala, Shani Bretas, Douglas D. Ready  April 2021 Researchers describe how teachers, school leaders, and program staff navigated institutional pressures to improve state grade-level standardized test scores while implementing tasks and technologies designed to personalize student learning. Michael A. Gottfried, Jay Plasman, Jennifer A. Freeman, Shaun Dougherty March 2021 Researchers found that students with learning disabilities were more likely to earn more units in CTE courses compared with students without disabilities. Ebony Omotola McGee  December 2020 This manuscript also discusses how universities institutionalize diversity mentoring programs designed mostly to fix (read “assimilate”) underrepresented students of color while ignoring or minimizing the role of the STEM departments in creating racially hostile work and educational spaces. Miray Tekkumru-Kisa, Mary Kay Stein, Walter Doyle  November 2020 The purpose of this article is to revisit theory and research on tasks, a construct introduced by Walter Doyle nearly 40 years ago. Elizabeth S. Park, Federick Ngo November 2020 Researchers found that lower math placement may have supported women, and to a lesser extent URM students, in completing transferable STEM credits. Karisma Morton, Catherine Riegle-Crumb  August/September 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Qi Zhang, Jessaca Spybrook, Fatih Unlu , July 2020 Researchers consider strategies to maximize the efficiency of the study design when both student and teacher effects are of primary interest. Jennifer Lin Russell, Richard Correnti, Mary Kay Stein, Ally Thomas, Victoria Bill, Laurie Speranzo , July 20, 2020 Analysis of videotaped coaching conversations and teaching events suggests that model-trained coaches improved their capacity to use a high-leverage coaching practice—deep and specific prelesson planning conversations—and that growth in this practice predicted teaching improvement, specifically increased opportunities for students to engage in conceptual thinking. Maithreyi Gopalan, Kelly Rosinger, Jee Bin Ahn , April 21, 2020 The overarching purpose of this chapter is to explore and document the growth, applicability, promise, and limitations of quasi-experimental research designs in education research. Thomas M. Philip, Ayush Gupta , April 21, 2020 By bringing this collection of articles together, this chapter provides collective epistemic and empirical weight to claims of power and learning as co-constituted and co-constructed through interactional, microgenetic, and structural dynamics. Steve Graham, Sharlene A. Kiuhara, Meade MacKay , March 19, 2020 This meta-analysis examined if students writing about content material in science, social studies, and mathematics facilitated learning. Janina Roloff, Uta Klusmann, Oliver Lüdtke, Ulrich Trautwein , January 2020  Multilevel regression analyses revealed that agreeableness, high school GPA, and the second state examination grade predicted teachers’ instructional quality. : Contemporary Views on STEM Subjects and Language With English Learners Okhee Lee, Amy Stephens , 2020  With the release of the consensus report , the authors highlight foundational constructs and perspectives associated with STEM subjects and language with English learners that frame the report. Angela Calabrese Barton and Edna Tan , 2020  This essay presents a rightful presence framework to guide the study of teaching and learning in justice-oriented ways. Day Greenberg, Angela Calabrese Barton, Carmen Turner, Kelly Hardy, Akeya Roper, Candace Williams, Leslie Rupert Herrenkohl, Elizabeth A. Davis, Tammy Tasker , 2020 Researchers  report on how one community builds capacity for disrupting injustice and supporting each other during the COVID-19 crisis. Tatiana Melguizo, Federick Ngo , 2020 This study explores the extent to which “college-ready” students, by high school standards, are assigned to remedial courses in college. Karisma Morton and Catherine Riegle-Crumb , 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Jonathan D. Schweig, Julia H. Kaufman, and V. Darleen Opfer , 2020 Researchers found that there are both substantial fluctuations in students’ engagement in these practices and reported cognitive demand from day to day, as well as large differences across teachers. David Blazar and Casey Archer , 2020 Researchers found that exposure to “ambitious” mathematics practices is more strongly associated with test score gains of English language learners compared to those of their peers in general education classrooms. Megan Hopkins, Hayley Weddle, Maxie Gluckman, Leslie Gautsch , December 2019  Researchers show how both researchers and practitioners facilitated research use. Adrianna Kezar, Samantha Bernstein-Sierra , October 2019 Findings suggest that Association of American Universities’ influence was a powerful motivator for institutions to alter deeply ingrained perceptions and behaviors. Denis Dumas, Daniel McNeish, Julie Sarama, Douglas Clements , October 2019 While students who receive a short-term intervention in preschool may not differ from a control group in terms of their long-term mathematics outcomes at the end of elementary school, they do exhibit significantly steeper growth curves as they approach their eventual skill level. Jessica Thompson, Jennifer Richards, Soo-Yean Shim, Karin Lohwasser, Kerry Soo Von Esch, Christine Chew, Bethany Sjoberg, Ann Morris , September 2019 Researchers used data from professional learning communities to analyze pathways into improvement work and reflective data to understand practitioners’ perspectives. Ross E. O’Hara, Betsy Sparrow , September 2019 Results indicate that interventions that target psychosocial barriers experienced by community college STEM students can increase retention and should be considered alongside broader reforms. Ran Liu, Andrea Alvarado-Urbina, Emily Hannum , September 2019 Findings reveal disparate national patterns in gender gaps across the performance distribution. Adam Kirk Edgerton , September 2019  Through an analysis of 52 interviews with state, regional, and district officials in California, Texas, Ohio, Pennsylvania, and Massachusetts, the author investigates the decline in the popularity of K–12 standards-based reform. Amy Noelle Parks , September 2019  The study suggests that more research needs to represent mathematics lessons from the perspectives of children and youth, particularly those students who engage with teachers infrequently or in atypical ways. Rajeev Darolia, Cory Koedel, Joyce B. Main, J. Felix Ndashimye, Junpeng Yan , September 30, 2019 Researchers found that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment. Laura A. Davis, Gregory C. Wolniak, Casey E. George, Glen R. Nelson , August 2019 The findings point to variation in informational quality across dimensions ranging from clarity of language use and terminology, to consistency and coherence of visual displays, which accompany navigational challenges stemming from information fragmentation and discontinuity across pages. Juan E. Saavedra, Emma Näslund-Hadley, Mariana Alfonso , August 12, 2019 Researchers present results from the first randomized experiment of a remedial inquiry-based science education program for low-performing elementary students in a developing country. F. Chris Curran, James Kitchin , July 2019 Researchers found suggestive evidence in some models (student fixed effects and regression with observable controls) that time on science instruction is related to science achievement but little evidence that the number of science topics/skills covered are related to greater science achievement. Kathleen Lynch, Heather C. Hill, Kathryn E. Gonzalez, Cynthia Pollard , June 2019 Programs saw stronger outcomes when they helped teachers learn to use curriculum materials; focused on improving teachers’ content knowledge, pedagogical content knowledge, and/or understanding of how students learn; incorporated summer workshops; and included teacher meetings to troubleshoot and discuss classroom implementation. We discuss implications for policy and practice. Elizabeth Stearns, Martha Cecilia Bottia, Jason Giersch, Roslyn Arlin Mickelson, Stephanie Moller, Nandan Jha, Melissa Dancy , June 2019  Researchers found that relative advantages in college academic performance in STEM versus non-STEM subjects do not contribute to the gender gap in STEM major declaration. Nicole Shechtman, Jeremy Roschelle, Mingyu Feng, Corinne Singleton , May 2019 As educational leaders throughout the United States adopt digital mathematics curricula and adaptive, blended approaches, the findings provide a relevant caution. Colleen M. Ganley, Robert C. Schoen, Mark LaVenia, Amanda M. Tazaz , March 2019 Factor analyses support a distinction between components of general math anxiety and anxiety about teaching math. Felicia Moore Mensah , February 2019  The implications for practice in both teacher education and science education show that educational and emotional support for teachers of color throughout their educational and professional journey is imperative to increasing and sustaining Black teachers. Herbert W. Marsh, Brooke Van Zanden, Philip D. Parker, Jiesi Guo, James Conigrave, Marjorie Seaton , February 2019  Researchers evaluated STEM coursework selection by women and men in senior high school and university, controlling achievement and expectancy-value variables. Yasemin Copur-Gencturk, Debra Plowman, Haiyan Bai , January 2019  The results showed that a focus on curricular content knowledge and examining students’ work were significantly related to teachers’ learning. Rebecca Colina Neri, Maritza Lozano, Louis M. Gomez , 2019 Researchers found that teacher resistance to CRE as a multilevel learning problem stems from (a) limited understanding and belief in the efficacy of CRE and (b) a lack of know-how needed to execute it. Russell T. Warne, Gerhard Sonnert, and Philip M. Sadler , 2019 Researchers  investigated the relationship between participation in AP mathematics courses (AP Calculus and AP Statistics) and student career interest in STEM. Catherine Riegle-Crumb, Barbara King, and Yasmiyn Irizarry , 2019  Results reveal evidence of persistent racial/ethnic inequality in STEM degree attainment not found in other fields. Eben B. Witherspoon, Paulette Vincent-Ruz, and Christian D. Schunn , 2019  Researchers found that high-performing women often graduate with lower paying, lower status degrees. Bruce Fuller, Yoonjeon Kim, Claudia Galindo, Shruti Bathia, Margaret Bridges, Greg J. Duncan, and Isabel García Valdivia , 2019 This article details the growing share of Latino children from low-income families populating schools, 1998 to 2010. Rebekka Darner , 2019 Drawing from motivated reasoning and self-determination theories, this essay builds a theoretical model of how negative emotions, thwarting of basic psychological needs, and the backfire effect interact to undermine critical evaluation of evidence, leading to science denial. Okhee Lee , 2019 As the fast-growing population of English learners (ELs) is expected to meet college- and career-ready content standards, the purpose of this article is to highlight key issues in aligning ELP standards with content standards. Mark C. Long, Dylan Conger, and Raymond McGhee, Jr. , 2019 The authors offer the first model of the components inherent in a well-implemented AP science course and the first evaluation of AP implementation with a focus on public schools newly offering the inquiry-based version of AP Biology and Chemistry courses. Yasemin Copur-Gencturk, Joseph R. Cimpian, Sarah Theule Lubienski, and Ian Thacker , 2019 Results indicate that teachers are not free of bias, and that teachers from marginalized groups may be susceptible to bias that favors stereotype-advantaged groups. Geoffrey B. Saxe and Joshua Sussman , 2019  Multilevel analysis of longitudinal data on a specialized integers and fractions assessment, as well as a California state mathematics assessment, revealed that the ELs in LMR classrooms showed greater gains than comparison ELs and gained at similar rates to their EP peers in LMR classrooms. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2019  The authors discuss whether it would have been appropriate to test for nominally equivalent outcomes, given that the study was initially conceived and designed to test for significant differences, and that the conclusion of no difference was not solely based on a null hypothesis test. Soobin Kim, Gregory Wallsworth, Ran Xu, Barbara Schneider, Kenneth Frank, Brian Jacob, Susan Dynarski , 2019 Using detailed Michigan high school transcript data, this article examines the effect of the MMC on various students’ course-taking and achievement outcomes. Dario Sansone , December 2018 Researchers found that students were less likely to believe that men were better than women in math or science when assigned to female teachers or to teachers who valued and listened to ideas from their students. Ebony McGee , December 2018 The authors argues that both racial groups endure emotional distress because each group responds to its marginalization with an unrelenting motivation to succeed that imposes significant costs. Barbara Means, Haiwen Wang, Xin Wei, Emi Iwatani, Vanessa Peters , November 2018 Students overall and from under-represented groups who had attended inclusive STEM high schools were significantly more likely to be in a STEM bachelor’s degree program two years after high school graduation. Paulo Tan, Kathleen King Thorius , November 2018  Results indicate identity and power tensions that worked against equitable practices. Caesar R. Jackson , November 2018 This study investigated the validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ) for minority students enrolled in STEM courses at a historically black college/university (HBCU). Tuan D. Nguyen, Christopher Redding , September 2018 The results highlight the importance of recruiting qualified STEM teachers to work in high-poverty schools and providing supports to help them thrive and remain in the classroom. Joseph A. Taylor, Susan M. Kowalski, Joshua R. Polanin, Karen Askinas, Molly A. M. Stuhlsatz, Christopher D. Wilson, Elizabeth Tipton, Sandra Jo Wilson , August 2018 The meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions. Brian A. Burt, Krystal L. Williams, Gordon J. M. Palmer , August 2018 Three factors are identified as helping them persist from year to year, and in many cases through completion of the doctorate: the role of family, spirituality and faith-based community, and undergraduate mentors. Anna-Lena Rottweiler, Jamie L. Taxer, Ulrike E. Nett , June 2018 Suppression improved mood in exam-related anxiety, while distraction improved mood only in non-exam-related anxiety. Gabriel Estrella, Jacky Au, Susanne M. Jaeggi, Penelope Collins , April 2018 Although an analysis of 26 articles confirmed that inquiry instruction produced significantly greater impacts on measures of science achievement for ELLs compared to direct instruction, there was still a differential learning effect suggesting greater efficacy for non-ELLs compared to ELLs. Heather C. Hill, Mark Chin , April 2018 In this article, evidence from 284 teachers suggests that accuracy can be adequately measured and relates to instruction and student outcomes. Darrell M. Hull, Krystal M. Hinerman, Sarah L. Ferguson, Qi Chen, Emma I. Näslund-Hadley , April 20, 2018 Both quantitative and qualitative evidence suggest students within this culture respond well to this relatively simple and inexpensive intervention that departs from traditional, expository math instruction in many developing countries. Erika C. Bullock , April 2018 The author reviews CME studies that employ intersectionality as a way of analyzing the complexities of oppression. Angela Calabrese Barton, Edna Tan , March 2018  Building a conceptual argument for an equity-oriented culture of making, the authors discuss the ways in which making with and in community opened opportunities for youth to project their communities’ rich culture knowledge and wisdom onto their making while also troubling and negotiating the historicized injustices they experience. Sabrina M. Solanki, Di Xu , March 2018  Researchers found that having a female instructor narrows the gender gap in terms of engagement and interest; further, both female and male students tend to respond to instructor gender. Susanne M. Jaeggi, Priti Shah , February 2018 These articles provide excellent examples for how neuroscientific approaches can complement behavioral work, and they demonstrate how understanding the neural level can help researchers develop richer models of learning and development. Danyelle T. Ireland, Kimberley Edelin Freeman, Cynthia E. Winston-Proctor, Kendra D. DeLaine, Stacey McDonald Lowe, Kamilah M. Woodson , 2018 Researchers found that (1) identity; (2) STEM interest, confidence, and persistence; (3) achievement, ability perceptions, and attributions; and (4) socializers and support systems are key themes within the experiences of Black women and girls in STEM education. Ann Y. Kim, Gale M. Sinatra, Viviane Seyranian , 2018 Findings indicate that young women experience challenges to their participation and inclusion when they are in STEM settings. Guan Saw, Chi-Ning Chang, and Hsun-Yu Chan , 2018  Results indicated that female, Black, Hispanic, and low SES students were less likely to show, maintain, and develop an interest in STEM careers during high school years. Di Xu, Sabrina Solanki, Peter McPartlan, and Brian Sato , 2018 This paper estimates the causal effects of a first-year STEM learning communities program on both cognitive and noncognitive outcomes at a large public 4-year institution. Christina S. Chhin, Katherine A. Taylor, and Wendy S. Wei , 2018 Data showed that IES has not funded any direct replications that duplicate all aspects of the original study, but almost half of the funded grant applications can be considered conceptual replications that vary one or more dimensions of a prior study. Okhee Lee , 2018 As federal legislation requires that English language proficiency (ELP) standards are aligned with content standards, this article addresses issues and concerns in aligning ELP standards with content standards in English language arts, mathematics, and science. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2018 Researchers found no statistically significant differences in longer term outcomes between students in the online and face-to-face courses. Implications of these null findings are discussed. Colleen M. Ganley, Casey E. George, Joseph R. Cimpian, Martha B. Makowski , December 2017  Researchers found that perceived gender bias against women emerges as the dominant predictor of the gender balance in college majors. James P. Spillane, Megan Hopkins, Tracy M. Sweet , December 2017 This article examines the relationship between teachers’ instructional ties and their beliefs about mathematics instruction in one school district working to transform its approach to elementary mathematics education.  Susan A. Yoon, Sao-Ee Goh, Miyoung Park , December 6, 2017 Results revealed needs in five areas of research: a need to diversify the knowledge domains within which research is conducted, more research on learning about system states, agreement on the essential features of complex systems content, greater focus on contextual factors that support learning including teacher learning, and a need for more comparative research. Candace Walkington, Virginia Clinton, Pooja Shivraj , November 2017  Textual features that make problems more difficult to process appear to differentially negatively impact struggling students, while features that make language easier to process appear to differentially positively impact struggling students. Rebecca L. Matz, Benjamin P. Koester, Stefano Fiorini, Galina Grom, Linda Shepard, Charles G. Stangor, Brad Weiner, Timothy A. McKay , November 2017 Biology, chemistry, physics, accounting, and economics lecture courses regularly exhibit gendered performance differences that are statistically and materially significant, whereas lab courses in the same subjects do not. Adam V. Maltese, Christina S. Cooper , August 2017 The results reveal that although there is no singular pathway into STEM fields, self-driven interest is a large factor in persistence, especially for males, and females rely more heavily on support from others. Brian R. Belland, Andrew E. Walker, Nam Ju Kim , August 2017 Scaffolding has a consistently strong effect across student populations, STEM disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional and educational levels. Di Xu, Shanna Smith Jaggars , July 2017 The findings indicate a robust negative impact of online course taking for both subjects. Maisie L. Gholson, Charles E. Wilkes , June 2017 This chapter reviews two strands of identity-based research in mathematics education related to Black children, exemplified by Martin (2000) and Nasir (2002). Sarah Theule Lubienski, Emily K. Miller, and Evthokia Stephanie Saclarides , November 2017  Using data from a survey of doctoral students at one large institution, this study finds that men submitted and published more scholarly works than women across many fields, with differences largest in natural/biological sciences and engineering.  David Blazar, Cynthia Pollard , October 2017 Drawing on classroom observations and teacher surveys, researchers find that test preparation activities predict lower quality and less ambitious mathematics instruction in upper-elementary classrooms. Nicole M. Joseph, Meseret Hailu, Denise Boston , June 2017 This integrative review used critical race theory (CRT) and Black feminism as interpretive frames to explore factors that contribute to Black women’s and girls’ persistence in the mathematics pipeline and the role these factors play in shaping their academic outcomes. Benjamin L. Wiggins, Sarah L. Eddy, Daniel Z. Grunspan, Alison J. Crowe , May 2017 Researchers describe the results of a quasi-experimental study to test the apex of the ICAP framework (interactive, constructive, active, and passive) in this ecological classroom environment. Sean Gehrke, Adrianna Kezar , May 2017  This study examines how involvement in four cross-institutional STEM faculty communities of practice is associated with local departmental and institutional change for faculty members belonging to these communities. Lawrence Ingvarson, Glenn Rowley , May 2017 This study investigated the relationship between policies related to the recruitment, selection, preparation, and certification of new teachers and (a) the quality of future teachers as measured by their mathematics content and pedagogy content knowledge and (b) student achievement in mathematics at the national level.  Will Tyson, Josipa Roksa , April 2017 This study examines how course grades and course rigor are associated with math attainment among students with similar eighth-grade standardized math test scores.  Anne K. Morris, James Hiebert , March 2017 Researchers investigated whether the content pre-service teachers studied in elementary teacher preparation mathematics courses was related to their performance on a mathematics lesson planning task 2 and 3 years after graduation.  Laura M. Desimone, Kirsten Lee Hill , March 2017 Researchers use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Okhee Lee , March 2017 This article focuses on how the Common Core State Standards (CCSS) and the Next Generation Science Standards (NGSS) treat “argument,” especially in Grades K–5, and the extent to which each set of standards is grounded in research literature, as claimed. Cory Koedel, Diyi Li, Morgan S. Polikoff, Tenice Hardaway, Stephani L. Wrabel , February 2017 Researchers estimate relative achievement effects of the four most commonly adopted elementary mathematics textbooks in the fall of 2008 and fall of 2009 in California. Mary Kay Stein, Richard Correnti, Debra Moore, Jennifer Lin Russell, Katelynn Kelly , January 2017 Researchers argue that large-scale, standards-based improvements in the teaching and learning of mathematics necessitate advances in theories regarding how teaching affects student learning and progress in how to measure instruction. Alan H. Schoenfeld , December 2016 The author begins by tracing the growth and change in research in mathematics education and its interdependence with research in education in general over much of the 20th century, with an emphasis on changes in research perspectives and methods and the philosophical/empirical/disciplinary approaches that underpin them.  Marcia C. Linn, Libby Gerard, Camillia Matuk, Kevin W. McElhaney , December 2016 This chapter focuses on how investigators from varied fields of inquiry who initially worked separately began to interact, eventually formed partnerships, and recently integrated their perspectives to strengthen science education. : Are Teachers’ Implicit Cognitions Another Piece of the Puzzle? Almut E. Thomas , December 2016 Drawing on expectancy-value theory, this study investigated whether teachers’ implicit science-is-male stereotypes predict between-teacher variation in males’ and females’ motivational beliefs regarding physical science.  : A By-Product of STEM College Culture? Ebony O. McGee , December 2016  The researcher found that the 38 high-achieving Black and Latino/a STEM study participants, who attended institutions with racially hostile academic spaces, deployed an arsenal of strategies (e.g., stereotype management) to deflect stereotyping and other racial assaults (e.g., racial microaggressions), which are particularly prevalent in STEM fields.  James Cowan, Dan Goldhaber, Kyle Hayes, Roddy Theobald , November 2016 Researchers discuss public policies that contribute to teacher shortages in specific subjects (e.g., STEM and special education) and specific types of schools (e.g., disadvantaged) as well as potential solutions. : A Sociological Analysis of Multimethod Data From Young Women Aged 10–16 to Explore Gendered Patterns of Post-16 Participation Louise Archer, Julie Moote, Becky Francis, Jennifer DeWitt, Lucy Yeomans , November 2016 Researchers draw on survey data from more than 13,000 year 11 (age 15/16) students and interviews with 70 students (who had been tracked from age 10 to 16), focusing in particular on seven girls who aspired to continue with physics post-16, discussing how the cultural arbitrary of physics requires these girls to be highly “exceptional,” undertaking considerable identity work and deployment of capital in order to “possibilize” a physics identity—an endeavor in which some girls are better positioned to be successful than others. Jeremy Roschelle, Mingyu Feng, Robert F. Murphy, Craig A. Mason , October 2016 In a randomized field trial with 2,850 seventh-grade mathematics students, researchers evaluated whether an educational technology intervention increased mathematics learning. : Making Research Participation Instructionally Effective Sherry A. Southerland, Ellen M. Granger, Roxanne Hughes, Patrick Enderle, Fengfeng Ke, Katrina Roseler, Yavuz Saka, Miray Tekkumru-Kisa , October 2016 As current reform efforts in science place a premium on student sense making and participation in the practices of science, researchers use a close examination of 106 science teachers participating in Research Experiences for Teachers (RET) to identify, through structural equation modeling, the essential features in supporting teacher learning from these experiences. Brian R. Belland, Andrew E. Walker, Nam Ju Kim, Mason Lefler , October 2016 This review addresses the need for a comprehensive meta-analysis of research on scaffolding in STEM education by synthesizing the results of 144 experimental studies (333 outcomes) on the effects of computer-based scaffolding designed to assist the full range of STEM learners (primary through adult education) as they navigated ill-structured, problem-centered curricula. Vaughan Prain, Brian Hand , October 2016 Researchers claim that there are strong evidence-based reasons for viewing writing as a central but not sole resource for learning, drawing on both past and current research on writing as an epistemological tool and on their professional background in science education research, acknowledging its distinctive take on the use of writing for learning.  June Ahn, Austin Beck, John Rice, Michelle Foster , September 2016 Researchers present analyses from a researcher-practitioner partnership in the District of Columbia Public Schools, where the researchers are exploring the impact of educational software on students’ academic achievement. Barbara King , September 2016 This study uses nationally representative data from a recent cohort of college students to investigate thoroughly gender differences in STEM persistence.  Ryan C. Svoboda, Christopher S. Rozek, Janet S. Hyde, Judith M. Harackiewicz, Mesmin Destin , August 2016 This longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the socioeconomic status (SES) and mathematics and science course-taking relationship.  Mathematics Course Placements in California Middle Schools, 2003–2013 Thurston Domina, Paul Hanselman, NaYoung Hwang, Andrew McEachin , July 2016  Researchers consider the organizational processes that accompanied the curricular intensification of the proportion of California eighth graders enrolled in algebra or a more advanced course nearly doubling to 65% between 2003 and 2013. Lina Shanley , July 2016 Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and between early and later mathematics growth parameters.  Mimi Engel, Amy Claessens, Tyler Watts, George Farkas , June 2016 Analyzing data from two nationally representative kindergarten cohorts, researchers examine the mathematics content teachers cover in kindergarten. F. Chris Curran, Ann T. Kellogg , June 2016 Researchers present findings from the recently released Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 that demonstrate significant gaps in science achievement in kindergarten and first grade by race/ethnicity. Rachel Garrett, Guanglei Hong , June 2016 Analyzing the Early Childhood Longitudinal Study–Kindergarten cohort data, researchers find that heterogeneous grouping or a combination of heterogeneous and homogeneous grouping under relatively adequate time allocation is optimal for enhancing teacher ratings of language minority kindergartners’ math performance, while using homogeneous grouping only is detrimental.  Jennifer Gnagey, Stéphane Lavertu , May 2016 This study is one of the first to estimate the impact of “inclusive” science, technology, engineering, and mathematics (STEM) high schools using student-level data.  Hanna Gaspard, Anna-Lena Dicke, Barbara Flunger, Isabelle Häfner, Brigitte M. Brisson, Ulrich Trautwein, Benjamin Nagengast , May 2016  Through data from a cluster-randomized study in which a value intervention was successfully implemented in 82 ninth-grade math classrooms, researchers address how interventions on students’ STEM motivation in school affect motivation in subjects not targeted by the intervention. Rebecca M. Callahan, Melissa H. Humphries , April 2016  Researchers employ multivariate methods to investigate immigrant college going by linguistic status using the Educational Longitudinal Study of 2002. Federick Ngo, Tatiana Melguizo , March 2016 Researchers take advantage of heterogeneous placement policy in a large urban community college district in California to compare the effects of math remediation under different policy contexts. : An Analysis of German Fourth- and Sixth-Grade Classrooms Steffen Tröbst, Thilo Kleickmann, Kim Lange-Schubert, Anne Rothkopf, Kornelia Möller , February 2016  Researchers examined if changes in instructional practices accounted for differences in situational interest in science instruction and enduring individual interest in science between elementary and secondary school classrooms. : A Mixed-Methods Study David F. Feldon, Michelle A. Maher, Josipa Roksa, James Peugh , February 2016  Researchers offer evidence of a similar phenomenon to cumulative advantage, accounting for differential patterns of research skill development in graduate students over an academic year and explore differences in socialization that accompany diverging developmental trajectories.   : The Influence of Time, Peers, and Place Luke Dauter, Bruce Fuller , February 2016  Researchers hypothesize that pupil mobility stems from the (a) student’s time in school and grade; (b) student’s race, class, and achievement relative to peers; (c) quality of schooling relative to nearby alternatives; and (4) proximity, abundance, and diversity of local school options.  : How Workload and Curricular Affordances Shape STEM Faculty Decisions About Teaching and Learning Matthew T. Hora , January 2016 In this study the idea of the “problem space” from cognitive science is used to examine how faculty construct mental representations for the task of planning undergraduate courses.  Jessaca Spybrook, Carl D. Westine, Joseph A. Taylor , January 2016 This article provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials (CRTs) focused on science achievement.  Paul L. Morgan, George Farkas, Marianne M. Hillemeier, Steve Maczuga , January 2016 Researchers examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools.  : Opportunity Structures and Outcomes in Inclusive STEM-Focused High Schools Lois Weis, Margaret Eisenhart, Kristin Cipollone, Amy E. Stich, Andrea B. Nikischer, Jarrod Hanson, Sarah Ohle Leibrandt, Carrie D. Allen, Rachel Dominguez , December 2015  Researchers present findings from a three-year comparative longitudinal and ethnographic study of how schools in two cities, Buffalo and Denver, have taken up STEM education reform, including the idea of “inclusive STEM-focused schools,” to address weaknesses in urban high schools with majority low-income and minority students.  : How Do They Interact in Promoting Science Understanding? Jasmin Decristan, Eckhard Klieme, Mareike Kunter, Jan Hochweber, Gerhard Büttner, Benjamin Fauth, A. Lena Hondrich, Svenja Rieser, Silke Hertel, Ilonca Hardy , December 2015 Researchers examine the interplay between curriculum-embedded formative assessment—a well-known teaching practice—and general features of classroom process quality (i.e., cognitive activation, supportive climate, classroom management) and their combined effect on elementary school students’ understanding of the scientific concepts of floating and sinking. : An International Perspective William H. Schmidt, Nathan A. Burroughs, Pablo Zoido, Richard T. Houang , October 2015 In this paper, student-level indicators of opportunity to learn (OTL) included in the 2012 Programme for International Student Assessment are used to explore the joint relationship of OTL and socioeconomic status (SES) to student mathematics literacy.  Xueli Wang , September 2015 This study examines the effect of beginning at a community college on baccalaureate success in science, technology, engineering, and mathematics (STEM) fields.  : Trends and Predictors David M. Quinn, North Cooc , August 2015 With research on science achievement disparities by gender and race/ethnicity often neglecting the beginning of the pipeline in the early grades, researchers address this limitation using nationally representative data following students from Grades 3 to 8.  Shaun M. Dougherty, Joshua S. Goodman, Darryl V. Hill, Erica G. Litke, Lindsay C. Page , May 2015 Researchers highlight a collaboration to investigate one district’s effort to increase middle school algebra course-taking. David F. Feldon, Michelle A. Maher, Melissa Hurst, Briana Timmerman , April 2015 This mixed-method study investigates agreement between student mentees’ and their faculty mentors’ perceptions of the students’ developing research knowledge and skills in STEM.  : Reviving Science Education for Civic Ends John L. Rudolph , December 2014  This article revisits John Dewey’s now-well-known address “Science as Subject-Matter and as Method” and examines the development of science education in the United States in the years since that address. Dermot F. Donnelly, Marcia C. Linn Sten Ludvigsen , December 2014 The National Science Foundation–sponsored report Fostering Learning in the Networked World called for “a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences”; we review research on science inquiry learning environments (ILEs) to characterize current platforms.  : A Longitudinal Case Study of America’s Chemistry Teachers Gregory T. Rushton, Herman E. Ray, Brett A. Criswell, Samuel J. Polizzi, Clyde J. Bearss, Nicholas Levelsmier, Himanshu Chhita, Mary Kirchhoff , November 2014  Researchers perform a longitudinal case study of U.S. public school chemistry teachers to illustrate a diffusion of responsibility within the STEM community regarding who is responsible for the teacher workforce.  : Relations Between Early Mathematics Knowledge and High School Achievement Tyler W. Watts, Greg J. Duncan, Robert S. Siegler, Pamela E. Davis-Kean , October 2014 Researchers find that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics. T. Jared Robinson, Lane Fischer, David Wiley, John Hilton, III , October 2014 The purpose of this quantitative study is to analyze whether the adoption of open science textbooks significantly affects science learning outcomes for secondary students in earth systems, chemistry, and physics. : 1968–2009 Robert N. Ronau, Christopher R. Rakes, Sarah B. Bush, Shannon O. Driskell, Margaret L. Niess, David K. Pugalee , October 2014  We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Andrew D. Plunk, William F. Tate, Laura J. Bierut, Richard A. Grucza , June 2014 Using logistic regression with Census and American Community Survey (ACS) data (  = 2,892,444), researchers modeled mathematics and science course graduation requirement (CGR) exposure on (a) high school dropout, (b) beginning college, and (c) obtaining any college degree.  Corey Drake, Tonia J. Land, Andrew M. Tyminski , April 2014 Building on the work of Ball and Cohen and that of Davis and Krajcik, as well as more recent research related to teacher learning from and about curriculum materials, researchers seek to answer the question, How can prospective teachers (PTs) learn to read and use educative curriculum materials in ways that support them in acquiring the knowledge needed for teaching? Lorraine M. McDonnell, M. Stephen Weatherford , December 2013 This article draws on theories of political and policy learning and interviews with major participants to examine the role that the Common Core State Standards (CCSS) supporters have played in developing and implementing the standards, supporters’ reasons for mobilizing, and the counterarguments and strategies of recently emerging opposition groups. : Motivation, High School Learning, and Postsecondary Context of Support Xueli Wang , October 2013  This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions.  Philip M. Sadler, Gerhard Sonnert, Harold P. Coyle, Nancy Cook-Smith, Jaimie L. Miller , October 2013 This study examines the relationship between teacher knowledge and student learning for 9,556 students of 181 middle school physical science teachers. : Teaching Critical Mathematics in a Remedial Secondary Classroom Andrew Brantlinger , October 2013  The researcher presents results from a practitioner research study of his own teaching of critical mathematics (CM) to low-income students of color in a U.S. context.  Jason G. Hill, Ben Dalton , October 2013 This study investigates the distribution of math teachers with a major or certification in math using data from the National Center for Education Statistics’ High School Longitudinal Study of 2009 (HSLS:09). Kristin F. Butcher, Mary G. Visher , September 2013 This study uses random assignment to investigate the impact of a “light-touch” intervention, where an individual visited math classes a few times during the semester, for a few minutes each time, to inform students about available services. Janet M. Dubinsky, Gillian Roehrig, Sashank Varma , August 2013  Researchers argue that the neurobiology of learning, and in particular the core concept of  , have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning.  : The Impact of Undergraduate Research Programs M. Kevin Eagan, Jr., Sylvia Hurtado, Mitchell J. Chang, Gina A. Garcia, Felisha A. Herrera, Juan C. Garibay , August 2013  Researchers’ findings indicate that participation in an undergraduate research program significantly improved students’ probability of indicating plans to enroll in a STEM graduate program. Okhee Lee, Helen Quinn, Guadalupe Valdés , May 2013 This article addresses language demands and opportunities that are embedded in the science and engineering practices delineated in “A Framework for K–12 Science Education,” released by the National Research Council (2011). Liliana M. Garces , April 2013  This study examines the effects of affirmative action bans in four states (California, Florida, Texas, and Washington) on the enrollment of underrepresented students of color within six different graduate fields of study: the natural sciences, engineering, social sciences, business, education, and humanities. : Learning Lessons From Research on Diversity in STEM Fields Shirley M. Malcom, Lindsey E. Malcom-Piqueux , April 2013 Researchers argue that social scientists ought to look to the vast STEM education research literature to begin the task of empirically investigating the questions raised in the   case.  Roslyn Arlin Mickelson, Martha Cecilia Bottia, Richard Lambert , March 2013 This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K–12 schools students attend.  Jeffrey Grigg, Kimberle A. Kelly, Adam Gamoran, Geoffrey D. Borman , March 2013 Researchers examine classroom observations from a 3-year large-scale randomized trial in the Los Angeles Unified School District (LAUSD) to investigate the extent to which a professional development initiative in inquiry science influenced teaching practices in in 4th and 5th grade classrooms in 73 schools. :  Angela Calabrese Barton, Hosun Kang, Edna Tan, Tara B. O’Neill, Juanita Bautista-Guerra, Caitlin Brecklin , February 2013  This longitudinal ethnographic study traces the identity work that girls from nondominant backgrounds do as they engage in science-related activities across school, club, and home during the middle school years.  : A Review of the State of the Field Shuchi Grover, Roy Pea , January 2013  This article frames the current state of discourse on computational thinking in K–12 education by examining mostly recently published academic literature that uses Jeannette Wing’s article as a springboard, identifies gaps in research, and articulates priorities for future inquiries. Catherine Riegle-Crumb, Barbara King, Eric Grodsky, Chandra Muller , December 2012  This article investigates the empirical basis for often-repeated arguments that gender differences in entrance into science, technology, engineering, and mathematics (STEM) majors are largely explained by disparities in prior achievement.  Richard M. Ingersoll, Henry May , December 2012 This study examines the magnitude, destinations, and determinants of mathematics and science teacher turnover.  : How Families Shape Children’s Engagement and Identification With Science Louise Archer, Jennifer DeWitt, Jonathan Osborne, Justin Dillon, Beatrice Willis, Billy Wong , October 2012  Drawing on the conceptual framework of Bourdieu, this article explores how the interplay of family habitus and capital can make science aspirations more “thinkable” for some (notably middle-class) children than others. Erin Marie Furtak, Tina Seidel, Heidi Iverson, Derek C. Briggs , September 2012 This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students.  Jaekyung Lee, Todd Reeves , June 2012 This study examines the impact of high-stakes school accountability, capacity, and resources under NCLB on reading and math achievement outcomes through comparative interrupted time-series analyses of 1990–2009 NAEP state assessment data.  : Toward a Theory of Teaching Paola Sztajn, Jere Confrey, P. Holt Wilson, Cynthia Edgington , June 2012 Researchers propose a theoretical connection between research on learning and research on teaching through recent research on students’ learning trajectories (LTs).  : The Perspectives of Exemplary African American Teachers Jianzhong Xu, Linda T. Coats, Mary L. Davidson , February 2012  Researchers argue both the urgency and the promise of establishing a constructive conversation among different bodies of research, including science interest, sociocultural studies in science education, and culturally relevant teaching.  Rebecca M. Schneider, Kellie Plasman , December 2011 This review examines the research on science teachers’ pedagogical content knowledge (PCK) in order to refine ideas about science teacher learning progressions and how to support them.  Brian A. Nosek, Frederick L. Smyth , October 2011  Researchers examined implicit math attitudes and stereotypes among a heterogeneous sample of 5,139 participants.  Libby F. Gerard, Keisha Varma, Stephanie B. Corliss, Marcia C. Linn , September 2011 Researchers’ findings suggest that professional development programs that engaged teachers in a comprehensive, constructivist-oriented learning process and were sustained beyond 1 year significantly improved students’ inquiry learning experiences in K–12 science classrooms.  : Teaching and Learning Impacts of Reading Apprenticeship Professional Development Cynthia L. Greenleaf, Cindy Litman, Thomas L. Hanson, Rachel Rosen, Christy K. Boscardin, Joan Herman, Steven A. Schneider, Sarah Madden, Barbara Jones , June 2011  This study examined the effects of professional development integrating academic literacy and biology instruction on science teachers’ instructional practices and students’ achievement in science and literacy.  Paul Cobb, Kara Jackson , May 2011 The authors comment on Porter, McMaken, Hwang, and Yang’s recent analysis of the Common Core State Standards for Mathematics by critiquing their measures of the focus of the standards and the absence of an assessment of coherence.  P. Wesley Schultz, Paul R. Hernandez, Anna Woodcock, Mica Estrada, Randie C. Chance, Maria Aguilar, Richard T. Serpe , March 2011 This study reports results from a longitudinal study of students supported by a national National Institutes of Health–funded minority training program, and a propensity score matched control.  : Three Large-Scale Studies Jeremy Roschelle, Nicole Shechtman, Deborah Tatar, Stephen Hegedus, Bill Hopkins, Susan Empson, Jennifer Knudsen, Lawrence P. Gallagher , December 2010  The authors present three studies (two randomized controlled experiments and one embedded quasi-experiment) designed to evaluate the impact of replacement units targeting student learning of advanced middle school mathematics.  : Examining Disparities in College Major by Gender and Race/Ethnicity Catherine Riegle-Crumb, Barbara King , December 2010  The authors analyze national data on recent college matriculants to investigate gender and racial/ethnic disparities in STEM fields, with an eye toward the role of academic preparation and attitudes in shaping such disparities.  Mary Kay Stein, Julia H. Kaufman , September 2010  This article begins to unravel the question, “What curricular materials work best under what kinds of conditions?” The authors address this question from the point of view of teachers and their ability to implement mathematics curricula that place varying demands and provide varying levels of support for their learning.  Andy R. Cavagnetto , September 2010 This study of 54 articles from the research literature examines how argument interventions promote scientific literacy.  Victoria M. Hand , March 2010 The researcher examined how the teacher and students in a low-track mathematics classroom jointly constructed opposition through their classroom interactions. Terrence E. Murphy, Monica Gaughan, Robert Hume, S. Gordon Moore, Jr. , March 2010 Researchers evaluate the association of a summer bridge program with the graduation rate of underrepresented minority (URM) students at a selective technical university.  23+ Quantitative Research Topics For STEM Students In The Philippines Post author By Ankit February 6, 2024 “Did you know only 28% of college graduates in the Philippines get degrees in STEM fields? Finding good research topics is vital to getting more Filipino students curious about quantitative studies. With limited research money and resources, it can be hard for STEM students to find quantitative projects that are possible, new, and impactful. Often, researchers end up feeling apart from local issues and communities. This blog post offers a unique collection of quantitative research topics for STEM students in the Philippines. Thus, drawing from current events, social issues, and the country’s needs, these project ideas will feel relevant and help students do research that creates positive change.  Philippines students can find inspiration for quantitative studies that make a difference at home through many examples across science, technology, engineering, and math. Read Our Blog: 120+ Best Quantitative Research Topics for Nursing Students (2024 Edition) Table of Contents 30 Great Quantitative Research Topics for STEM Students in The Philippines Here are the top quantitative research topics for STEM students in the Philippines in 2024 1. Impact of Climate Change on Farming Analyze how changing weather affects the growth of crops like rice and corn in different parts of the Philippines. Use numbers to find ways and suggest ways farmers can adapt. 2. Using Drones to Watch Nature See how well drones with special sensors can watch over forests and coasts in the Philippines. Look at the data they gather to figure out how to save these places. 3. Making Solar Panels Work Better Experiment with various ways to make more power with solar panels in sunny, humid places like the Philippines. Utilize math to guess how well they’ll work. 4. Checking How Pollution Hurts Coral Reefs Count how much damage pollution does to coral reefs in the Philippines. Try to predict how bad it’ll get if we don’t stop polluting. 5. Watching Traffic to Fix Roads Look at how cars move in big cities like Manila. Use math to figure out how to make traffic flow better and help people get around faster. 6. at Air and Sick People Measure how clean the air is in various parts of the Philippines and see if it affects how many people get sick. Find out which areas need help to stay healthy. 7. Guessing When Earthquakes Might Happen Look at data from sensors all over the Philippines to see if we can tell when earthquakes might come. Try to guess where they’ll occur next. 8. Making Water Pipes Better Use math tricks to design cheap pipes that bring clean water to small towns in the Philippines. Think about things like hills and how many people need water. 9. Checking If Planting Trees Helps Measure if planting trees helps stop the shore from washing away during storms. Use photos from far away and math to see if it’s working. 10. Teaching Computers to Find Sickness Teach computers to look at pictures and records from hospitals to see if people are sick. Check if they’re good at spotting problems in the Philippines. 11. Finding Better Bags That Break Down Test different materials like banana leaves to see which ones can be made into bags that don’t hurt the environment. Compare them to regular plastic bags. 12. Making Gardens in the City See if we can grow vegetables in tall buildings in big cities like Manila. Use numbers to figure out if it’s a good idea. 13. Checking If Bugs Spread Easily in Crowded Places Use computers to see if diseases spread fast in busy places in the Philippines. Look at how people move around to stop diseases from spreading. 14. Storing Energy for Islands Without Power Think about ways to save power for small islands without electricity. Try out different ways to save energy and see which one works best. 15. Seeing How Much Storms Hurt Farms Calculate how much damage storms do to farms in the Philippines. Use numbers to see how much money farmers lose. 16. Testing Ways to Stop Dirt from Washing Away Try out different ways to stop dirt from being washed away when it rains. Use math to see which way works best on hills in the Philippines. 17. Checking How Healthy Local Food Is Look at the vitamins and minerals in local foods like sweet potatoes and moringa leaves. See if eating them is good for people in the Philippines. 18. Making Cheap Water Cleaners Build simple machines that clean dirty water in small towns. Notice if they work better than expensive ones. 19. Seeing How Hot Cities Get Use satellites to see how hot cities like Manila get compared to places with more trees. Think about how this affects people. 20. Thinking About Trash in Cities Look at how much trash cities in the Philippines make and find ways to deal with it. Consider what people can do to make less trash. 21. Checking If We Can Use Hot Rocks for Power Look at rocks under the ground to see if we can get power from them. Consider whether it is beneficial for the environment. 22. Counting Animals in the Forest Use cameras to count how many animals are in forests in the Philippines. Notice which places need the most help to keep animals safe. 23. Making Fishing Fair Look at how many fish are caught in the Philippines and see if it’s fair. Think about ways to make sure there will always be enough fish to catch. 24. Making Power Lines Smarter Design power lines that can change how much power they use. Try to make sure power goes where it’s needed most. 25. Looking at Dirty Water Find out if chopping down trees and building things by rivers makes the water dirty. Think about what this means for people and animals. 26. Thinking About Big Waves Use computers to see if big waves could hit the Philippines and what might happen. Think about how to keep people safe. 27. Seeing If Parks Help Cities Ask people if they like having parks in their city and see what animals live there. Think about if parks make cities better. 28. Making Houses That Don’t Break in Storms Make houses that don’t fall when there are big storms. Try to make them cheap so more people can have them. 29. Stopping Food from Going Bad Look at how food gets from farms to people’s houses and see if we can stop it from going bad. Think about how to make sure people have enough to eat. 30. Seeing How Hot Cities Get Put machines around cities to see how hot they get. Consider how this affects people and what we can do to help. These topics will help you to make a good project that assists you in getting better scores. Importance Of Quantitative Research For STEM Students Read why quantitative research matters to Filipino students. Helps us understand problems more clearly by revealing trends, patterns, and connections in the data Provides an accurate picture by removing personal biases and opinions Allows quantitative comparison of results if studies use the same methods Enables testing hypotheses and theories through experiments that can prove/disprove predictions Allows replication and verification as other researchers can redo experiments and study methods Numbers give a more precise, factual understanding compared to qualitative data. Removes subjectivity through quantitative data rather than opinions A key part of the scientific process is that data helps confirm or reject proposed explanations. Overall, collecting and analyzing quantitative data is crucial for gaining insights, testing ideas, ensuring consistency, and reducing bias It’s time to see what challenges students face with their quantitative research. Challenge Philippines Students Face With Their Quantitative Research  Here are the common challenges that students face with their quantitative research topics: Lack of resources and funding Doing quantitative research needs access to equipment, software , datasets etc, which can be costly. Many students lack funding and access to these resources. Lack of background in mathematics and statistics Quantitative research relies heavily on math and statistical skills. However, many students haven’t developed strong enough skills in these areas yet. Difficulty accessing scholarly databases Students need access to academic journals and databases for literature reviews. However, these can be costly for people to access. Language barriers Many of the academic literature is in English. This can make reading and learning complex statistical concepts more difficult. Lack of mentorship Having an experienced mentor to provide guidance is invaluable. However, not all students have access to mentorship in quantitative research. Managing large datasets Collecting, cleaning and analyzing large datasets requires advanced technical skills. Students may struggle without proper guidance. Presenting results clearly Learning how to visualize and communicate statistical findings effectively is an important skill that takes practice. Ethical challenges Ensuring quantitative studies are designed ethically can be difficult for novice researchers. Writing scientifically Adopting the formal, precise writing style required in quantitative research is challenging initially. Maintaining motivation Quantitative research is complex and time-consuming. Students may lose motivation without a strong support network. While quantitative research presents many challenges, Philippines STEM students can overcome these through access to proper resources and support. With hard work, mentorship and collaborative opportunities, students can build essential skills and contribute to the quantitative research landscape. Tips For Conducting Quantitative Research In The Philippines When conducting research in a new cultural context like the Philippines, it is vital to take time to understand local norms and build trust. Approaching research openly and collaboratively will lead to more meaningful insights. 1. Get Required Approvals Be sure to get any necessary ethics reviews or approvals from local governing boards before conducting the analysis. It is wise to follow proper protocols and permissions. 2. Hire Local Assistants Hire local research helpers to help navigate logistics, translation, and cultural sensitivities. This provides jobs and insider insights. 3. Use Multiple Research Methods Triangulate findings using interviews, focus groups, surveys, participant observation, etc. Multiple methods provide more potent and well-rounded results. 4. Verify Information Politely verify information collected from interviews before publication. Follow up to ensure accurate representation and context. 5. Share Results Report back to participants and communities on research findings and next steps. This shows respect and accountability for their contributions. 6. Acknowledge Limitations Openly acknowledge the limitations of perspective and methods as an outside researcher. Remain humble and keep improving approaches. Keep in mind, when entering a new community to conduct research, taking an open, patient, and collaborative approach leads to more ethical and meaningful results. Thus, making the effort to understand and work within cultural norms demonstrates respect. STEM students in the Philippines have many possible research topics using numbers. They could look at renewable energy, sustainability, pollution, environment, disease prevention, farming improvements, preparing for natural disasters, building projects, transportation, and technology access.  By carefully analyzing statistics and creating mathematical models, young Filipino researchers can provide key ideas to guide future policies and programs. Quantitative research allows real observations and suggestions based on evidence to make the country better now and later.  Number-based methods help young researchers in the Philippines give tangible recommendations to improve their communities. How can I limit my choices and pick the right research topic? Think about what you enjoy and what you’re skilled at. Consider if your topic is meaningful and if you have the resources to study it. Get advice from teachers or friends to help you decide. What are some common problems in doing math research in science, technology, engineering, and math? Problems might include: 1. Finding data. 2. Make sure your measurements are correct. 3. Following rules about ethics. 4. Handling big sets of data. How can I make sure my research is done well? Plan your study carefully, use the correct methods and tools, write down everything you do, and think about the strengths and weaknesses of your work. Tags Quantitative Research Topics For STEM Students In The Philippines australia (2) duolingo (13) Education (284) General (78) How To (18) IELTS (127) Latest Updates (162) Malta Visa (6) Permanent residency (1) Programming (31) Scholarship (1) Sponsored (4) Study Abroad (187) Technology (12) work permit (8) Recent Posts 151+ Experimental Research Topics For Students Welcome to our blog post about fun new experimental research topics! This blog is for anyone who likes to learn more about experiments and discoveries. Experiments help researchers test ideas and find new facts. They are essential for learning new things in science, health, and more. In this blog, we will examine some new topics researchers explore through experiments. You’ll learn about new studies in many different areas. This includes new technology, medicine, psychology, business, and nature. The goals are to show how experiments work and highlight excellent new topics. We want this blog to explain experiments simply for everyone to understand. Get ready to learn about the interesting experimental research topics researchers are testing now. The experiments could lead to significant breakthroughs and new knowledge. Why Choose Experimental Research? Table of Contents Experiments help us learn new things. By doing experiments, researchers can test ideas to see if they are true. Here are some key reasons experiments are helpful: Experiments allow researchers to study cause and effect. They can change things on purpose to see what happens. It helps control variables. Researchers change some things but keep other things the same. This helps them know what caused the effect. Experiments allow repetition. Researchers can repeat experiments many times to confirm results. It reduces bias. Careful experiments follow set scientific methods to get objective data. Experiments lead to discoveries. Many innovations and breakthroughs started from experiments. It tests new theories. Researchers can use experiments to support or disprove theories. Experiments drive progress. As we learn from experiments, science and technology move forward. The controlled setting of experiments helps researchers gain new knowledge. Experiments will continue helping us make new findings and innovations. How to Select Experimental Research Topics Selecting experimental research topics can be exciting yet challenging. Here are some steps to guide you through the process: Choose topics you are curious about. Pick questions you really want to find answers for. This will keep you motivated. Look for topics with gaps in knowledge. Focus on questions where experiments can uncover new findings. Consider practical topics. Research things that could lead to useful applications if successful. Review current research. Build on what others have already studied in your topic area. Match topics to available resources. Make sure you have the budget, equipment, and access needed. Evaluate risks and ethics. Avoid topics if experiments could be dangerous or unethical. Get feedback on ideas. Discuss potential issues with advisors to refine them. Be open to discoveries. Sometimes, experiments lead to unexpected new insights. Make topics specific. Narrow down broad areas into specific, testable questions. Double-check methods are valid. Confirm you can adequately test your topic through experiments. The proper research topic will be feasible, ethical, and specific, leading to new knowledge. By following these tips, you can select exciting experimental research topics. 151+ Experimental Research Topics Here are the 151+ experimental research topics across various fields.  How do different teaching methods affect learning math? Using music therapy to reduce anxiety in hospital patients. The link between exercise and thinking skills in older adults. Can meditation lower stress levels in college students? Social media’s effect on how teenagers view their bodies. Testing a new medicine for a specific illness. How lack of sleep affects decision-making. Does speaking two languages impact children’s thinking? A new way to help kids understand what they read. Does diet affect how well students do in school? Using virtual reality to treat fears. Learning outdoors and how it helps kids learn. Does music help people work better? Do happy workers do better at their jobs? A new way to sell products and increase sales. How video games affect kids’ attention spans. Testing a vaccine to prevent disease. Does a more interesting environment change animals’ behavior? Parental involvement and kids’ grades. Does talking to someone help with depression? Does using screens before bed affect sleep? Which exercises are best for heart health? How friends and family affect someone’s health. Learning new words in another language. Does drawing or painting help cancer patients feel better? How does caffeine affect how fast people react? How parents’ relationships affect their kids’ relationships. A new way to help kids who break the rules. Does having parks in a city make people happier? Can mindfulness help with pain? Does being rich or poor affect kids’ grades? Different ways to lead a team at work. Can older students help younger students do better in school? Does color affect what people buy? Does exercise help college students feel better? A new way to help people who had bad experiences. How divorce affects kids’ feelings. Does the weather affect how plants grow? Do kids who feel good do better in school? Testing a new way to find kids with autism. How social media affects how teenagers feel about themselves. Can mindfulness make people feel better at work? Does personality affect how good a leader someone is? Does a new way to teach science help kids learn? Does sleep affect how well people play sports? Can eating certain foods help hearts stay healthy? A new way to help parents handle kids’ behavior. How lights at night affect animals. Does virtual reality help people get over fears? Does watching TV affect how well little kids talk to others? A new way to help kids learn math. Can mindfulness make people do better at work? Does personality affect how good a leader is? Do ideas about what boys and girls can do affect their desires? Can a new way to help kids learn math? How does reading affect how well kids do in school? Does coloring or drawing help people with cancer feel better? How does drinking coffee or tea affect how fast people think? Can parents’ relationships affect their kids’ relationships? How does spending time outside affect how well kids do in school? How does music affect how well people work? Can a new way to sell things make more money? How do video games affect how well kids pay attention? Does a shot prevent a certain sickness? How do different rooms affect how animals act? Does spending time with family and friends affect how healthy someone is? How does learning a new language affect kids’ grades? Can talking to someone help with feeling sad? How does watching TV or phone before bed affect sleep? Which exercises are best for keeping hearts healthy? How does having good friends affect how well kids do in school? How does talking to someone about problems help? How does having parents who are divorced affect kids’ feelings? How does playing with friends affect how well kids learn? Can learning mindfulness make people feel better at work? How does someone’s personality affect how good they are at leading? Can a new way to teach science make kids learn better? How do ideas about what boys and girls can do affect what they want to do? Can getting enough sleep help kids play sports better? How does eating healthy food affect how healthy someone’s heart is? Can learning a new way to be a parent help kids behave better? How does light at night affect animals’ behavior? Can using virtual reality help people stop being afraid of something? How does watching TV affect how well little kids can talk to others? Can a new way to teach math help kids learn better? Can coloring or drawing help people who have cancer feel better? How does coffee or tea affect how fast people think? Can having parents who get along well affect how kids get along with others? Can listening to music help people work better? How do different exercises affect how well someone’s heart works? Can having good friends help kids do better in school? Can having parents who are divorced affect kids’ feelings? How does the weather affect how plants grow? Can playing with friends help kids learn better? How does learning mindfulness make people feel at work? Can someone’s personality affect how good they are at leading? How does learning a new way to teach science make kids learn better? Can ideas about what boys and girls can do affect what they want to do? How does getting enough sleep help kids play sports better? Can eating healthy food help someone’s heart stay healthy? How does learning a new way to be a parent help kids behave better? Can light at night affect how animals behave? How does using virtual reality help people stop being afraid of something? Can watching TV affect how well little kids can talk to others? How does a new way to teach math help kids learn better? How does drinking coffee or tea affect how fast people can think? How does playing outside affect kids’ happiness? Can listening to music help people relax? How does eating breakfast affect students’ concentration in school? Challenges and Considerations in Experimental Research Here are some key challenges and considerations in experimental research: Controlling variables can be complex. Researchers must identify and control all factors that could impact results. Results may not be reproducible. Other scientists may get different results when repeating experiments. Bias can influence outcomes. Researchers may unintentionally skew results based on expectations. Experiments can be time-consuming. Planning, running, and analyzing experiments takes a lot of time. Studies can be expensive. Equipment, materials, and personnel costs add up. Ethical issues may arise. Experiments must not harm people, animals, or environments. Applications can be limited. Discoveries may only apply to limited settings or samples. Collaborators may be needed. Complex experiments often require teamwork with experts. Negative results happen. An experiment can fail to prove a hypothesis. Quality experimental research takes careful planning, rigorous methods, and critical thinking. Researchers must address these challenges through their experimental design and protocols. Tips for Conducting Successful Experimental Research Here are some tips for conducting successful experimental research: Ask a specific question you want to answer Do background research to understand what is known Create a detailed protocol before starting Use control groups for comparison Change only one variable at a time Use enough participants to get meaningful data Carefully record all observations and results Use the right tools and methods for measurements Analyze data objectively without bias Try repeating experiments to confirm the findings Document everything thoroughly so others can repeat Follow ethical guidelines and get approvals Partner with other qualified researchers Accept that experiments can fail, but learn from them Share your findings through papers and presentations Careful planning, good protocols, and critical thinking are essential. Following sound scientific methods will lead to meaningful experimental research. Final Remarks In conclusion, doing research experiments is a good learning experience. It takes careful planning, paying attention to details, and being ethical. Following the tips in this post, you can handle the complex parts of research experiments and get good results. Remember to have clear goals, make good plans for the experiments, and check that things are working right. This helps make sure your results are accurate and can be trusted. Work with others, get feedback, and explain your results clearly. This helps science and understanding move forward. If you’re a student, researcher, or just interested, these ideas will help you do good research experiments. They will help you learn new things and add to what we know in your field. Similar Articles Top 100 Research Topics In Commerce Field The world of commerce is rapidly evolving. With new technologies, globalization, and changing consumer behaviors, many exciting research topics exist… Top 30+ Mini Project Ideas For Computer Engineering Students Mini projects are really important for computer engineering students. They help students learn by doing practical stuff alongside their regular… Leave a Comment Cancel Reply Your email address will not be published. Required fields are marked * This site uses Akismet to reduce spam. Learn how your comment data is processed . Advertisement Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of Literature Published in 2011–2020 Published: 23 February 2023 Volume 33 , pages 1069–1092, ( 2024 ) Cite this article Ying-Shao Hsu   ORCID: orcid.org/0000-0002-1635-8213 1 , 2 , Kai-Yu Tang   ORCID: orcid.org/0000-0002-3965-3055 3 & Tzu-Chiang Lin   ORCID: orcid.org/0000-0003-3842-3749 4 , 5   1267 Accesses 4 Citations Explore all metrics This study explored research trends in science, technology, engineering, and mathematics (STEM) education. Descriptive analysis and co-word analysis were used to examine articles published in Social Science Citation Index journals from 2011 to 2020. From a search of the Web of Science database, a total of 761 articles were selected as target samples for analysis. A growing number of STEM-related publications were published after 2016. The most frequently used keywords in these sample papers were also identified. Further analysis identified the leading journals and most represented countries among the target articles. A series of co-word analyses were conducted to reveal word co-occurrence according to the title, keywords, and abstract. Gender moderated engagement in STEM learning and career selection. Higher education was critical in training a STEM workforce to satisfy societal requirements for STEM roles. Our findings indicated that the attention of STEM education researchers has shifted to the professional development of teachers. Discussions and potential research directions in the field are included. This is a preview of subscription content, log in via an institution to check access. Access this article Subscribe and save. Get 10 units per month Download Article/Chapter or eBook 1 Unit = 1 Article or 1 Chapter Cancel anytime Price includes VAT (Russian Federation) Instant access to the full article PDF. Rent this article via DeepDyve Institutional subscriptions Similar content being viewed by others An Integrative Review with Word Cloud Analysis of STEM Education A review of STEM education with the support of visualizing its structure through the CiteSpace software A systematic review of STEM education research in the GCC countries: trends, gaps and barriers Data availability. The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. Akgunduz, D. (2016). A Research about the placement of the top thousand students placed in STEM fields in Turkey between the years 2000 and 2014. EURASIA Journal of Mathematics, Science and Technology Education, 12 (5), 1365–1377. Google Scholar   Appianing, J., & Van Eck, R. N. (2018). Development and validation of the Value-Expectancy STEM Assessment Scale for students in higher education. International Journal of STEM Education , 5 , article 24. Assefa, S. G., & Rorissa, A. (2013). A bibliometric mapping of the structure of STEM education using co-word analysis. Journal of the American Society for Information Science and Technology, 64 (12), 2513–2536. Belland, B. R., Walker, A. E., Kim, N. J., & Lefler, M. (2017). Synthesizing results from empirical research on computer-based scaffolding in STEM education: A meta-analysis. Review of Educational Research, 87 (2), 309–344. Brotman, J. S., & Moore, F. M. (2008). Girls and science: A review of four themes in the science education literature. Journal of Research in Science Teaching, 45 (9), 971–1002. Brown, R. E., & Bogiages, C. A. (2019). Professional development through STEM integration: How early career math and science teachers respond to experiencing integrated STEM tasks. International Journal of Science and Mathematics Education, 17 (1), 111–128. Burt, B. A., Williams, K. L., & Palmer, G. J. M. (2019). It takes a village: The role of emic and etic adaptive strengths in the persistence of black men in engineering graduate programs. American Educational Research Journal, 56 (1), 39–74. Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22 (1), 155–205. Carlisle, D. L. & Weaver, G. C. (2018). STEM education centers: Catalyzing the improvement of undergraduate STEM education. International Journal of STEM Education, 5 , article 47. Chang, D. F., & ChangTzeng, H. C. (2020). Patterns of gender parity in the humanities and STEM programs: The trajectory under the expanded higher education system. Studies in Higher Education, 45 (6), 1108–1120. Charleston, L. J. (2012). A qualitative investigation of African Americans’ decision to pursue computing science degrees: Implications for cultivating career choice and aspiration. Journal of Diversity in Higher Education, 5 (4), 222–243. Charleston, L. J., George, P. L., Jackson, J. F. L., Berhanu, J., & Amechi, M. H. (2014). Navigating underrepresented STEM spaces: Experiences of black women in US computing science higher education programs who actualize success. Journal of Diversity in Higher Education, 7 (3), 166–176. Chien, Y. H., & Chu, P. Y. (2018). The different learning outcomes of high school and college students on a 3D-printing STEAM engineering design curriculum. International Journal of Science and Mathematics Education, 16 (6), 1047–1064. Dehdarirad, T., Villarroya, A., & Barrios, M. (2014). Research trends in gender differences in higher education and science: A co-word analysis. Scientometrics, 101 (1), 273–290. Dickerson, D. L., Eckhoff, A., Stewart, C. O., Chappell, S., & Hathcock, S. (2014). The examination of a pullout STEM program for urban upper elementary students. Research in Science Education, 44 (3), 483–506. Eccles, J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J., & Midgley, C. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and Achievement Motives . W. San Francisco: H. Freeman. Ellison, S., & Allen, B. (2018). Disruptive innovation, labor markets, and Big Valley STEM School: Network analysis in STEM education. Cultural Studies of Science Education, 13 (1), 267–298. Erdogan, N., Navruz, B., Younes, R., & Capraro, R. M. (2016). Viewing how STEM project-based learning influences students’ science achievement through the implementation lens: A latent growth modeling. Eurasia Journal of Mathematics, Science and Technology Education, 12 (8), 2139–2154. European Commission, Directorate-General for Education, Youth, Sport and Culture (2016). Does the EU need more STEM graduates? Final report . Retrieve from https://data.europa.eu/doi/10.2766/000444 Fredricks, J. A., Hofkens, T., Wang, M. T., Mortenson, E., & Scott, P. (2018). Supporting girls’ and boys’ engagement in math and science learning: A mixed methods study. Journal of Research in Science Teaching, 55 (2), 271–298. Fry, R., Kennedy, B., & Funk, C. (2021). Stem jobs see uneven progress in increasing gender, racial and ethnic diversity. Retrieve from https://www.pewresearch.org/science/wp-content/uploads/sites/16/2021/03/PS_2021.04.01_diversity-in-STEM_REPORT.pdf Ganley, C. M., George, C. E., Cimpian, J. R., & Makowski, M. B. (2018). Gender equity in college majors: Looking beyond the STEM/non-STEM dichotomy for answers regarding female participation. American Educational Research Journal, 55 (3), 453–487. Gehrke, S., & Kezar, A. (2019). Perceived outcomes associated with engagement in and design of faculty communities of practice focused on STEM reform. Research in Higher Education, 60 (4), 844–869. Gilmore, J., Vieyra, M., Timmerman, B., Feldon, D., & Maher, M. (2015). The relationship between undergraduate research participation and subsequent research performance of early career STEM graduate students. Journal of Higher Education, 86 (6), 834–863. Godwin, A., Potvin, G., Hazari, Z., & Lock, R. (2016). Identity, critical agency, and engineering: An affective model for predicting engineering as a career choice. Journal of Engineering Education, 105 (2), 312–340. Han, S., Yalvac, B., Capraro, M. M., & Capraro, R. M. (2015). In-service teachers’ implementation and understanding of STEM project based learning. Eurasia Journal of Mathematics Science and Technology Education, 11 (1), 63–76. Heras, M., Ruiz-Mallén, I., & Gallois, S. (2020). Staging science with young people: Bringing science closer to students through stand-up comedy. International Journal of Science Education, 42 (12), 1968–1987. Hernandez, P. R., Estrada, M., Woodcock, A., & Schultz, P. W. (2017). Protégé perceptions of high mentorship quality depend on shared values more than on demographic match. Journal of Experimental Education, 85 (3), 450–468. Hinojo Lucena, F. J., Lopez Belmonte, J., Fuentes Cabrera, A., Trujillo Torres, J. M., & Pozo Sanchez, S. (2020). Academic effects of the use of flipped learning in physical education. International journal of Environmental Research and Public Health , 17 (1), article 276. Holmes, K., Gore, J., Smith, M., & Lloyd, A. (2018). An integrated analysis of school students’ aspirations for STEM careers: Which student and school factors are most predictive? International Journal of Science and Mathematics Education, 16 (4), 655–675. Huang, X., & Qiao, C. (2022). Enhancing computational thinking skills through artificial intelligence education at a STEAM high school. Science & Education . https://doi.org/10.1007/s11191-022-00392-6 Article   Google Scholar   Hughes, R. M., Nzekwe, B., & Molynearx, K. J. (2013). The single sex debate for girls in science: A comparison between two informal science programs on middle school students’ STEM identity formation. Research in Science Education, 43 , 1979–2007. Hughes, B. S., Corrigan, M. W., Grove, D., Andersen, S. B., & Wong, J. T. (2022). Integrating arts with STEM and leading with STEAM to increase science learning with equity for emerging bilingual learners in the United States. International Journal of STEM Education , 9 , article 58. Johnson, A. M. (2019). “I can turn it on when I need to”: Pre-college integration, culture, and peer academic engagement among black and Latino/a engineering students. Sociology of Education, 92 (1), 1–20. Kayan-Fadlelmula, F., Sellami, A., Abdelkader, N., & Umer, S. (2022). A systematic review of STEM education research in the GCC countries: Trends, gaps and barriers. International Journal of STEM Education, 9 , article 2. Kelly, R., Mc Garr, O., Leahy, K., & Goos, M. (2020). An investigation of university students and professionals’ professional STEM identity status. Journal of Science Education and Technology, 29 (4), 536–546. Kezar, A., Gehrke, S., & Bernstein-Sierra, S. (2017). Designing for success in STEM communities of practice: Philosophy and personal interactions. The Review of Higher Education, 40 (2), 217–244. Kezar, A., Gehrke, S., & Bernstein-Sierra, S. (2018). Communities of transformation: Creating changes to deeply entrenched issues. The Journal of Higher Education, 89 (6), 832–864. Kricorian, K., Seu, M., Lpoez, D., Ureta, E., & Equils, O. (2020). Factors influencing participation of underrepresented students in STEM fields: Matched mentors and mindsets. International Journal of STEM Education, 7 , article 16. Ku, C. J., Hsu, Y. S., Chang, M. C., & Lin, K. Y. (2022). A model for examining middle school students’ STEM integration behavior in a national technology competition. International Journal of STEM Education, 9 (1), 3. Leydesdroff, L. (1989). Words and co-words as indicators of intellectual organization. Research Policy, 18 (4), 209–223. Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020a). Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 7 , article 11. Li, Y., Wang, K., Xiao, Y., Froyd, J. E., Nite, S. B. (2020b). Research and trends in STEM education: A systematic analysis of publicly funded projects. International Journal of STEM Education, 7 , article 17. Lin, T. C., Lin, T. J., & Tsai, C. C. (2014). Research trends in science education from 2008 to 2012: A systematic content analysis of publications in selected journals. International Journal of Science Education, 36 (8), 1346–1372. Lin, T. J., Lin, T. C., Potvin, P., & Tsai, C. C. (2019). Research trends in science education from 2013 to 2017: A systematic content analysis of publications in selected journals. International Journal of Science Education, 41 (3), 367–387. Lin, T. C., Tang, K. Y., Lin, S. S., Changlai, M. L., & Hsu, Y. S. (2022). A co-word analysis of selected science education literature: Identifying research trends of scaffolding in two decades (2000–2019). Frontiers in Psychology, 13 , 844425. Liu, J. S., & Lu, L. Y. (2012). An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the American Society for Information Science and Technology, 63 (3), 528–542. Liu, C. Y., & Wu, C. J. (2022). STEM without art: A ship without a sail. Thinking Skills and Creativity, 43 , 100977. Lou, S. H., Shih, R. C., Diez, C. R., & Tseng, K. H. (2011). The impact of problem-based learning strategies on STEM knowledge integration and attitudes: An exploratory study among female Taiwanese senior high school students. International Journal of Technology and Design Education, 21 (2), 195–215. Lynch, S. J., Burton, E. P., Behrend, T., House, A., Ford, M., Spillane, N., Matray, S., Han, E., & Means, B. (2018). Understanding inclusive STEM high schools as opportunity structures for underrepresented students: Critical components. Journal of Research in Science Teaching, 55 (5), 712–748. Maass, K., Geiger, V., Ariza, M. R., & Goos, M. (2019). The Role of mathematics in interdisciplinary STEM education. ZDM-Mathematics Education, 51 (6), 869–884. Mansfield, K. C. (2014). How listening to student voices informs and strengthens social justice research and practice. Educational Administration Quarterly, 50 (3), 392–430. Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education: A systematic literature review. International Journal of STEM education , 6 , article 2. Marín-Marín, J. A., Moreno-Guerrero, A. J., Dúo-Terrón, P., & López-Belmonte, J. (2021). STEAM in education: A bibliometric analysis of performance and co-words in Web of Science. International Journal of STEM Education , 8 , article 41. Martín-Páez, T., Aguilera, D., Perales-Palacios, F. J., & Vílchez-González, J. M. (2019). What are we talking about when we talk about STEM education? A Review of Literature. Science Education, 103 (4), 799–822. McGee, E. O. (2020). Interrogating structural racism in STEM higher education. Educational Researcher, 49 (9), 633–644. Meho, L. I., & Yang, K. (2006). A new era in citation and bibliometric analyses: Web of Science, Scopus, and Google Scholar. arXiv preprint cs/0612132 . Mejias, S., Thompson, N., Sedas, R. M., Rosin, M., Soep, E., Peppler, K., Roche, J., Wong, J., Hurley, M., Bell, P., & Bevan, B. (2021). The trouble with STEAM and why we use it anyway. Science Education, 105 (2), 209–231. Micari, M., Van Winkle, Z., & Pazos, P. (2016). Among friends: The role of academic-preparedness diversity in individual performance within a small-group STEM learning environment. International Journal of Science Education, 38 (12), 1904–1922. Millar, V. (2020). Trends, issues and possibilities for an interdisciplinary STEM curriculum. Science & Education, 29 (4), 929–948. Nadelson, L. S., Callahan, J., Pyke, P., Hay, A., Dance, M., & Pfiester, J. (2013). Teacher STEM perception and preparation: Inquiry-based STEM professional development for elementary teachers. Journal of Educational Research, 106 (2), 157–168. Nakatoh, T., & Hirokawa, S. (2019, July). Evaluation index to find relevant papers: Improvement of focused citation count. In International Conference on Human-Computer Interaction (pp. 555–566). Springer, Cham. National Science Technology Council. (2012). Coordinating federal science, technology, engineering, and mathematics (STEM) education investments: Progress report. Retrieved from https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/nstc_federal_stem_education_coordination_report.pdf National Science Technology Council. (2013). Federal Science, Technology, Engineering, and Mathematics (STEM) Education 5-Year Strategic Plan. Retrieved from https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/stem_stratplan_2013.pdf Ong, M., Smith, J. M., & Ko, L. T. (2018). Counterspaces for women of color in STEM higher education: Marginal and central spaces for persistence and success. Journal of Research in Science Teaching, 55 (2), 206–245. Organisation for Economic Cooperation and Development, OECD (2021). Education at A Glance 2021. Retrieve from https://read.oecd.org/10.1787/b35a14e5-en?format=pdf Perez-Felkner, L., Felkner, J. S., Nix, S., & Magalhaes, M. (2020). The puzzling relationship between international development and gender equity: The case of STEM postsecondary education in Cambodia. International Journal of Educational Development, 72 , 102102. Perignat, E., & Katz-Buonincontro, J. (2019). STEAM in practice and research: An integrative literature review. Thinking Skills and Creativity, 31 , 31–43. Quigley, C. F., & Herro, D. (2016). “Finding the joy in the unknown”: Implementation of steam teaching practices in middle school science and math classrooms. Journal of Science Education and Technology, 25 (3), 410–426. Ramey, K. E., & Stevens, R. (2019). Interest development and learning in choice-based, in-school, making activities: The case of a 3D printer. Learning, Culture and Social Interaction, 23 , 100262. Salami, M. K., Makela, C. J., & de Miranda, M. A. (2017). Assessing changes in teachers’ attitudes toward interdisciplinary STEM teaching. International Journal of Technology and Design Education, 27 (1), 63–88. Sanders, M. (2009). Integrative STEM education primer. The Technology Teacher, 68 (4), 20–26. Saorín, J. L., Melian-Díaz, D., Bonnet, A., Carrera, C. C., Meier, C., & De La Torre-Cantero, J. (2017). Makerspace teaching-learning environment to enhance creative competence in engineering students. Thinking Skills and Creativity, 23 , 188–198. Simon, R. M., Wagner, A., & Killion, B. (2017). Gender and choosing a STEM major in college: Femininity, masculinity, chilly climate, and occupational values. Journal of Research in Science Teaching, 54 (3), 299–323. Stolle-McAllister, K., Domingo, M. R. S., & Carrillo, A. (2011). The Meyerhoff way: How the Meyerhoff scholarship program helps black students succeed in the sciences. Journal of Science Education and Technology, 20 (1), 5–16. Thomas, B., & Watters, J. J. (2015). Perspectives on Australian, Indian and Malaysian approaches to STEM education. International Journal of Educational Development, 45 , 42–53. Tosun, C. (2022). Analysis of the last 40 years of science education research via bibliometric methods. Science & Education . https://doi.org/10.1007/s11191-022-00400-9 Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538. Vencent-Ruz, P., & Schunn, C. D. (2017). The increasingly important role of science competency beliefs for science learning in girls. Journal of Research in Science Teaching, 54 (6), 790–822. Wang, S., Chen, Y., Lv, X., & Xu, J. (2022). Hot topics and frontier evolution of science education research: A bibliometric mapping from 2001 to 2020. Science & Education . https://doi.org/10.1007/s11191-022-00337-z Weeden, K. A., Gelbgiser, D., & Morgan, S. L. (2020). Pipeline dreams: Occupational plans and gender differences in STEM major persistence and completion. Sociology of Education, 93 (4), 297–314. Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25 (1), 68–81. Download references Author information Authors and affiliations. Graduate Institute of Science Education, National Taiwan Normal University, No. 88, Ting-Jou Rd., Sec. 4, Taipei City, 116, Taiwan Ying-Shao Hsu Institute for Research Excellence in Learning Sciences, National Taiwan Normal University, No. 88, Ting-Jou Rd., Sec. 4, Taipei City, 116, Taiwan Graduate Institute of Library & Information Science, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung City, 402, Taiwan Kai-Yu Tang Center for Liberal Arts, National Kaohsiung University of Science and Technology, No. 415, Jiangong Rd., Sanmin Dist, Kaohsiung City, 807618, Taiwan Tzu-Chiang Lin Center for Teacher Education, National Kaohsiung University of Science and Technology, No. 415, Jiangong Rd., Sanmin Dist, Kaohsiung City, 807618, Taiwan You can also search for this author in PubMed   Google Scholar Corresponding author Correspondence to Tzu-Chiang Lin . Ethics declarations Ethical approval and consent to participate. This study involves neither human participants’ data nor relevant biological material. Ethics approval and informed consent are hence not applicable. Conflict of Interest The authors declare that they have no conflict of interest. Additional information Publisher's note. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Reprints and permissions About this article Hsu, YS., Tang, KY. & Lin, TC. Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of Literature Published in 2011–2020. Sci & Educ 33 , 1069–1092 (2024). https://doi.org/10.1007/s11191-023-00419-6 Download citation Accepted : 26 January 2023 Published : 23 February 2023 Issue Date : August 2024 DOI : https://doi.org/10.1007/s11191-023-00419-6 Share this article Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative STEM education Co-word analysis Research trends Find a journal Publish with us Track your research 114 COMMENTS 200+ Experimental Quantitative Research Topics For Stem Students Here are 10 qualitative research topics for STEM students: Exploring the experiences of female STEM students in overcoming gender bias in academia. Understanding the perceptions of teachers regarding the integration of technology in STEM education. Investigating the motivations and challenges of STEM educators in underprivileged schools. Best 151+ Quantitative Research Topics for STEM Students Chemistry. Let's get started with some quantitative research topics for stem students in chemistry: 1. Studying the properties of superconductors at different temperatures. 2. Analyzing the efficiency of various catalysts in chemical reactions. 3. Investigating the synthesis of novel polymers with unique properties. 4. 189+ Good Quantitative Research Topics For STEM Students Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics. Prime Number Distribution: Investigate the distribution of prime numbers. Graph Theory Algorithms: Develop algorithms for solving graph theory problems. Statistical Analysis of Financial Markets: Analyze financial data and market trends. Best 101 Quantitative Research Topics for STEM Students 101 Quantitative Research Topics for STEM Students Biology Research Topics. Effect of Temperature on Enzyme Activity: Investigate how different temperatures affect the efficiency of enzymes in biological reactions. The Impact of Pollution on Aquatic Ecosystems: Analyze the correlation between pollution levels and the health of aquatic ecosystems. Genetic Variability in Human Populations: Study ... 210 Best Quantitative Research Topics For STEM Students Here are the key characteristics of quantitative research topics for STEM Students: Measurable Data: Quantitative topics examine things that can be measured and quantified with numbers, allowing statistical analysis of the data. Statistical Analysis: Quantitative topics use mathematical statistics to analyze numerical data and spot patterns ... 110+ Best Quantitative Research Topics for STEM Students Dark Matter: Analyze dark matter in galaxies. Solar Radiation: Track solar radiation changes. Solar Flares: Study effects of solar flares on satellites. Space Chemistry: Measure chemicals in space clouds. These topics are now more concise while still providing a clear focus for quantitative research. 189+ Experimental Quantitative Research Topics For STEM Students Here are 8 key points on how to do experimental research effectively. 1. Clear Research Focus. Begin by defining a clear and focused research question. A well-defined question provides a purpose and direction for your experiment, guiding your choices in variables and methodology. 2. PDF List Of 125+ Quantitative Research Topics for STEM Students These research endeavors contribute to theoretical frameworks and practical applications, technological innovations, and evidence-based decision-making. Here is a list of 200 quantitative research topics for STEM students. Keep in mind that these topics cover a broad range of disciplines within STEM. The impact of nanotechnology on medicine. Experimental Quantitative Research Topics For Stem Students Explore unique experimental quantitative research topics for STEM students, focusing on cutting-edge fields like AI, nanotechnology, and bioengineering. Experimental Quantitative Research Topics For Stem Students. 1. Impact of Variable X on Y: Examine how changes in X affect Y using controlled experiments. 55 Brilliant Research Topics For STEM Students Below are easy experimental research topics for STEM students. A study of nuclear fusion and fission. An evaluation of the major drawbacks of Biotechnology in the pharmaceutical industry. A study of single-cell organisms and how they're capable of becoming an intermediary host for diseases causing bacteria. 139+ Best Experimental Research Topics for STEM Students Experimental Research Topics for STEM Students About Plants. Check out experiemental research topics for STEM students about plants:-. Light Color and Growth: Test how different light colors affect plant height. Watering Frequency: Compare plant growth with daily vs. weekly watering. Soil Types: See how different soils affect plant growth. 260+ Experimental Research Topics for STEM Students 260+ Experimental Research Topics for STEM Students. Experimental research is the backbone of scientific discovery and innovation. It allows us to test hypotheses, explore new ideas, and ultimately push the boundaries of human knowledge. For STEM (Science, Technology, Engineering, and Mathematics) students, engaging in experimental research can ... 55 Brilliant Research Topics For STEM Students (2024) There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight. 200 Quantitative Research Title for Stem Students Quantitative research involves gathering numerical data to answer specific questions, and it's a fundamental part of STEM fields. To help you get started on your research journey, we've compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. 199+ Quantitative Research Topics For STEM Students to Try Now 30 Quantitative Research Topic Ideas For STEM Students. Investigating the properties and applications of novel materials created through 3D printing. Studying the effectiveness of virtual reality simulations for medical training programs. Analyzing the feasibility and methods for mineral extraction from asteroids. 11 STEM Research Topics for High School Students Topic 11: Music and Science. Combining music with science provides a unique research perspective. Students can study the psychological and biological effects of music on the human body and brain. This area is great for students interested in medicine, biology, music, and psychology, regardless of their musical background, offering a harmonious ... STEM Research Topics: 200+ Great Choices July 17, 2024. 10 minutes. Table of Contents. STEM stands for Science, Technology, Engineering, and Math. It is essential for learning and discovery, helping us understand the world, solve problems, and think critically. STEM research goes beyond classroom learning, allowing us to explore specific areas in greater detail. Trending Topic Research: STEM The American Educational Research Association (AERA), founded in 1916, is concerned with improving the educational process by encouraging scholarly inquiry related to education and evaluation and by promoting the dissemination and practical application of research results. AERA is the most prominent international professional organization, with the primary goal of advancing educational ... 23+ Quantitative Research Topics For STEM Students In ... Here are the top quantitative research topics for STEM students in the Philippines in 2024. 1. Impact of Climate Change on Farming. Analyze how changing weather affects the growth of crops like rice and corn in different parts of the Philippines. Use numbers to find ways and suggest ways farmers can adapt. 2. 151+ Experimental Research Topics For Students Experiments help researchers test ideas and find new facts. They are essential for learning new things in science, health, and more. In this blog, we will examine some new topics researchers explore through experiments. You'll learn about new studies in many different areas. This includes new technology, medicine, psychology, business, and ... Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of This study explored research trends in science, technology, engineering, and mathematics (STEM) education. Descriptive analysis and co-word analysis were used to examine articles published in Social Science Citation Index journals from 2011 to 2020. From a search of the Web of Science database, a total of 761 articles were selected as target samples for analysis. A growing number of STEM ... Any good experimental quantitative research topic for STEM students Since you are a STEM student (like me but Im already College), most experimental quanti researches I've read so far are alternatives of this and that (eg. Alternative for Cell Staining)... so take time to go to library and read existing research. Need help please, I made 5 proposals for the past weeks but all got rejected dahil either not STEM ... assignment homework phd report resume review speech thesis