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.
“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
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.
Read why quantitative research matters to Filipino students.
It’s time to see what challenges students face with their quantitative research.
Here are the common challenges that students face with their quantitative research topics:
Doing quantitative research needs access to equipment, software , datasets etc, which can be costly. Many students lack funding and access to these resources.
Quantitative research relies heavily on math and statistical skills. However, many students haven’t developed strong enough skills in these areas yet.
Students need access to academic journals and databases for literature reviews. However, these can be costly for people to access.
Many of the academic literature is in English. This can make reading and learning complex statistical concepts more difficult.
Having an experienced mentor to provide guidance is invaluable. However, not all students have access to mentorship in quantitative research.
Collecting, cleaning and analyzing large datasets requires advanced technical skills. Students may struggle without proper guidance.
Learning how to visualize and communicate statistical findings effectively is an important skill that takes practice.
Ensuring quantitative studies are designed ethically can be difficult for novice researchers.
Adopting the formal, precise writing style required in quantitative research is challenging initially.
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.
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.
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.
Problems might include: 1. Finding data. 2. Make sure your measurements are correct. 3. Following rules about ethics. 4. Handling big sets of data.
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.
UCF’s Center for Research in Computer Vision, led by Professor Mubarak Shah, has the nation’s longest-running REU program, continuously operating for 37 years.
By Eddy Duryea ’13 | September 3, 2024
Sixty-seven undergraduate students from across the U.S. gathered at UCF to take advantage of STEM research opportunities through the Research Experience for Undergraduates (REU) program.
UCF’s REU site, funded by the U.S. National Science Foundation, connects promising STEM students with established faculty at REU sites, enhancing their in-class learning experience with research, workshops and events.
UCF’s Office of Undergraduate Research and Office of Research collaborate to support REU principal investigators and student participants. There are six cohorts covering distinct areas of research that are comprised of 11 principal investigators and dozens of graduate students, postdoctoral researchers and faculty mentors:
UCF’s CRCV, led by director Mubarak Shah, has run the nation’s longest continuous REU program for 37 years. The university has maintained five or six REU programs since 2022, and UCF-based nonprofit Limbitless Solutions has been approved for next summer’s REU.
Students engage in a 10-to-12-week program and participate in workshops, labs and an individual research project that they may select from topics provided by corresponding mentors. Students then present their research to their cohort at the conclusion of the REU just before the start of the fall semester.
Launching Research and Accelerating Learning
Isabella Llamazares, a rising junior studying mechanical engineering at Florida International University, wanted to learn more about aerospace engineering but opportunities were limited at her school. She was accepted into the HYPER REU at UCF and was excited to supplement her learning.
“I always knew that I had to find other opportunities, and I knew that I wanted to come to UCF either for undergraduate or graduate studies,” Llamazares says. “This REU will help me back at my university. Although we don’t have aerospace down there, I’m part of an aviation club, and I have this as knowledge that I can build upon.”
With an interest in fluid dynamics and propulsion, her project described timing detonations as part of the combustion process for rockets and how to ultimately make them safer.
“I came in just having very basic knowledge from my classes,” Llamazares says. “I didn’t have the average aerospace engineering experience, but it was that dedication and really wanting to continue in this field that got me here. This REU and this project have really helped solidify that I want to pursue something related to the fluids field.”
James Hippelhauser ’11 ’20MS ’23PhD, a HYPER REU mentor and postdoctoral researcher for astrodynamics and space robotics, was pleased with his students.
“I’m definitely satisfied with their progress,” he says. “Astrodynamics is a topic that they don’t really get to learn from a classroom standpoint. I know they learned a lot just from a concept standpoint, but also applying it.”
Hippelhauser was impressed with how well the students absorbed and applied complicated topics such as orbital mechanics.
“It kind of reminded me a lot when I first started research,” he says. “It can be a challenge. Orbital mechanics isn’t a common topic especially for undergrads. They learned as much as they could and as fast as they could.”
Hippelhauser encourages prospective REU students interested in hypersonics, space, propulsion and energy to explore something they may not know.
“Don’t limit yourself to a topic you’re comfortable with,” he says. “Try to go for a topic that you would not have considered.”
Emmelia Lichty, a junior mechanical engineering major at Oral Roberts University, was drawn to UCF’s REU because she says she’s always loved space.
“My dad was an Air Force pilot and he flew fighter jets,” she says. “So, I got to see them up close and I’ve always been infatuated. I came here because everything aerospace is right here with NASA, the space coast, and UCF is so involved in aerospace research.”
Lichty worked under the mentorship of Florida Space Institute (FSI) Interim Director Julie Brisset to enhance a precision cooling loop for a space-based payload.
“Any fluctuations would affect the actual experiment itself,” Lichty says. “My cooling loop had to be very precise, within plus or minus point one degrees. I had to make the improvements and monitor hardware and code modifications to get the cooling loop to that precision, which I was able to do by the end of the summer.”
The ability to not just apply classroom knowledge but move beyond it was something she says was very appealing and rewarding.
“Getting hands-on experience with problem-solving is a really a big part of the REU,” Lichty says. “You also get a taste of research, and it helps you make those decisions about your career, like if you want to go to grad school or not.”
Brisset, who also is an associate scientist with FSI, agrees that exposure to research is crucial in understanding and navigating a STEM education.
“There are two components that need to work together, both in the classroom and in the research lab,” she says. “Sometimes it can be an abstract exercise working in a classroom, but if you have a real-life application, it can be easier to make a connection.”
It was rewarding seeing Lichty immerse herself fully in her research, Brissett says.
“I think it was very complete,” she says. “Emmie did mechanical work, fluid mechanics, some electronics and some coding. In the end, it was a very complete lab experience. The research was a success as she achieved the cooling precision.”
The competitive nature of REUs across the board has increased, as well as the quality of applicants, Brisset says.
“We have undergrads who go through this program who stay in STEM and routinely end up in grad school,” she says. “We have people who are mid-career that come to us and say they discovered their love for astronomy when they did the REU program.”
Getting Out and Shoring Up
Rowan Wyss, a senior biology student at Eckerd College, participated in UCF’s Coastal Cluster REU, where he studied feral hog populations and their interactions with the environment and other animals at the Mosquito Lagoon.
He says found the research experience gratifying and hopes to continue quantifying where and how these animal populations forage.
“I was looking for an REU experience and was aware of its transformative nature — how it exposes you to grad school and different software or programs used for biology research,” Wyss says. “I got way more out of the REU than I thought. I built so many connections and I’m much more proficient in software and the tools of the trade.”
In the early stages of applying and even participating in the REU, it can be easy to feel the “imposter syndrome,” or feeling like you’ve lucked into a position you’re not qualified for despite being actually qualified, Wyss says.
“You’re surrounded with people extremely proficient in this field when you might have little to no research experience. But that’s just science. It’s never a competition. It’s people working together,” he says.
Otis Woolfolk, a junior studying biology/marine biology track at UCF, tested the resiliency and sustainability of novel non-plastic oyster bags filled with recycled shells to restore shorelines throughout Florida. Woolfolk’s research marks the first test of the new materials in warm water restoration conditions.
He learned about REUs after being encouraged to apply by his ecology professor, Melinda Donnelly, and through his volunteer work with UCF’s Coastal and Estuarine Ecology Lab.
“I was asked about the ideas I had for my Ph.D., and I really want to work on microplastics and how they affect mangroves,” Wolfolk says. “So, this was close to that. Oyster bags generally use plastics, so I experimented with using more environmentally friendly materials made of potato starch or basalt that deteriorate within years.”
He found the process exciting and enjoyed delving into a component of marine biology and conservation that he may not have considered had he not participated in the REU.
“As a novice scientist, I learned a huge amount,” Wolfolk says. “It’s a time for you to get messy and make mistakes. You’re doing research, doing workshops and you’re learning how the science world works.”
During his poster presentation, Wolfolk says he felt a newfound confidence in his ability as a novice scientist when a freshman asked him how to get involved with research.
“My advice?” he says. “Volunteer as much as possible and don’t doubt yourself.”
Linda Walters, lead investigator for the Conservation, Restoration and Communication NSF REU site and Wolfolk’s REU mentor, says Wolfolk did an exemplary job in his research.
“It was very rewarding to watch this journey,” she says. “Otis had the opportunity to be on the ground-floor of our cutting-edge research in marine restoration this summer. He is gifted at asking good, thought-provoking questions and communicating his science.”
The program is very competitive and only 10 students were selected for the Coastal Cluster REU out of 377 applicants, says Walters, who also is a Pegasus Professor of biology. Those who participate in the REU usually continue their education through graduate school, she says.
“During the 10 weeks, the students go from a very limited research background to developing their research questions, collecting data, analyzing their data and presenting their projects to the larger community,” she says. “It is a lot of work for the mentors to keep everything on track for this accelerated timeline, but the students make it worthwhile. They become confident researchers in 10 weeks.”
Honing a Vision
UCF’s CRCV has hosted about 370 students since it was designated as an REU site 37 years ago and continues to guide undergraduates in the evolving field of computer vision, says Niels Lobo, associate professor of computer science and CRCV REU mentor.
“The nature of the REU has matured,” he says. “The field has evolved, and what students are doing now in their projects is vastly different than what people would have done 10 to 20 years ago.”
Lobo came to UCF 31 years ago and was encouraged to assist with REUs within the first year. Lobo has seen the composition of student applicants and participates becoming more diverse during his time at the university.
“What we’re seeing is that the student population applying for these research opportunities is exploding both in numbers and diversity,” he says. “That means that the overall experience of the cohort is going to be a little bit richer because everybody gets exposed to something different.”
Computer vision is harnessing the power of technology to not just view things through a camera, but to understand them, Lobo says. Continually adapting to the constant evolution of the field while also considering computer vision’s ethical implications are two components he is teaching students.
“Every two or three years, the field discovers something new,” Lobo says. “In research, there are no study guides, so you need to go out and explore. That process of discovery is only accomplished through research.”
Claire Zhang, a junior studying applied mathematics-computer science at Brown University, was glad to have embarked on CRCV REU.
She previously conducted remote research, but she says the program at UCF provided her with a more immersive and shared experience.
“It was really nice meeting this community and coming to work together,” Zhang says. “I imagined it being very independent, but I found that it was a lot more collaborative than I originally thought even though we all had our own independent projects.”
Her project involved creating segmentation masks for solar cells to show their degradation in a quantitative way rather than the qualitative way of identifying degradation by darkened glass regions of cells. Zhang created and used a model that outlines the materials and can characterize how degraded the cells are.
“I have almost no experience with material science,” she says. “This project connected material science to computer science, and it was a great introduction.”
Zhang gained not just expertise in a field she’s interested in, but also knowledge and momentum to continue her education and pursuit of a STEM career.
“For the past semester, I had been thinking about whether I should explore different concentrations,” she says. “This summer showed me that I can continue to explore other interests while remaining in this concentration, specifically, that I could apply computer science to these other interests.”
Students interested in more information about UCF’s REU program should visit: https://academicsuccess.ucf.edu/reu/programs/ .
Pegasus magazine.
For a decade, UCF-based nonprofit Limbitless Solutions has transformed kids’ lives through bionic limbs.
For students from the Philippines, by students from the Philippines. For strand, course, and admission questions, please post on r/CollegeAdmissionsPH
Need help please, I made 5 proposals for the past weeks but all got rejected dahil either not STEM related or just not feasible at all according to our research teacher. I seriously need your help guys, lutang na lutang na isip ko kakaisip ng research topic and worse, haggang Friday nalang since computan na ng grades for 1st quarter :((
By continuing, you agree to our User Agreement and acknowledge that you understand the Privacy Policy .
You’ve set up two-factor authentication for this account.
Create your username and password.
Reddit is anonymous, so your username is what you’ll go by here. Choose wisely—because once you get a name, you can’t change it.
Enter your email address or username and we’ll send you a link to reset your password
An email with a link to reset your password was sent to the email address associated with your account
The GRE Quantitative Reasoning section is a crucial part of the GRE, testing your mathematical skills, problem-solving abilities, and understanding of basic concepts. Excelling in this section requires a clear understanding of the key topics, a strategic approach to solving questions, and familiarity with the exam’s structure. This comprehensive guide will cover the essential GRE Quantitative Reasoning topics, offer valuable tips, and highlight strategies to help you achieve a high score.
Table of Content
Key topics in gre quantitative reasoning, strategies for gre quantitative reasoning success, gre quantitative reasoning topics-faqs.
The GRE Quantitative Reasoning section assesses your ability to interpret and analyze quantitative information, solve problems using mathematical models, and apply basic mathematical skills. The section is divided into two 35-minute sections, each containing 20 questions. These questions are drawn from four main content areas: Arithmetic, Algebra, Geometry, and Data Analysis.
Arithmetic forms the foundation of many GRE Quantitative Reasoning questions. Topics include:
Algebra is a significant part of the GRE Quantitative Reasoning section. Key topics include:
Geometry questions on the GRE test your knowledge of shapes, sizes, and the properties of space. Important topics include:
Data Analysis questions test your ability to interpret data and understand statistics. Key topics include:
The GRE Quantitative Reasoning section includes a variety of question types:
Time management is critical in the GRE Quantitative Reasoning section. With only 35 minutes for each section, you must balance speed and accuracy. Here are some tips:
A strong grasp of basic math concepts is essential for success in GRE Quantitative Reasoning. Review key topics such as arithmetic, algebra, geometry, and data analysis. Ensure you understand the underlying principles and can apply them to solve complex problems.
The best way to prepare for the GRE Quantitative Reasoning section is to practice with official GRE materials. The ETS (Educational Testing Service) provides practice tests and sample questions that closely mirror the actual exam. Use these resources to familiarize yourself with the question types, difficulty level, and format of the GRE.
Taking practice tests is essential, but analyzing your performance is equally important. After each practice test, review your answers and identify areas where you struggled. Focus your study efforts on these weak areas, and track your progress over time.
Data interpretation questions are a significant part of the GRE Quantitative Reasoning section. To excel in these questions:
Also Read: GRE Exam Syllabus 2024 GRE 2024: Exam Dates, Registration, Syllabus, and Score Validity GRE Accepting Universities in USA in 2024: GRE Score Required for US Universities MS in Data Science in USA Without GRE: Universities & Requirements
Mastering the GRE Quantitative Reasoning section requires a solid understanding of the key topics, strategic time management, and consistent practice. By focusing on arithmetic, algebra, geometry, and data analysis, you can build a strong foundation for success. Incorporate these tips and strategies into your study plan, and you’ll be well on your way to achieving a high score on the GRE Quantitative Reasoning section. Remember, practice makes perfect, so keep working on your math skills and take full advantage of official GRE resources to hone your abilities. Good luck!
Algebraic representation, factoring, approximations, significant digits, scientific notation, ratios and proportions, square roots, radicals and exponents, logarithms, graphing linear equations, vectors, and the metric system are some of the subjects covered.
It’s 75th percentile or higher for the majority of programs: 157+ for Verbal Reasoning and 165+ for Quantitative Reasoning. A score in the 90th percentile or above is required for elite programs: 162+ in Quant and 169+ in Verbal.
Quantitative reasoning scores range from 153 to 158, with an average of 154 out of 170 being deemed “good.” In general, a score in this area indicates that you are outperforming other test takers in terms of score over the 50th percentile. Admission to elite programs may need a score of 159 or better.
Similar reads.
IMAGES
VIDEO
COMMENTS
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.
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.
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.
Quantitative Research Topics for STEM Students. Check out quantitative research topics for STEM students:-Physics. Friction: Compare friction on different surfaces.; Light Diffraction: Measure light patterns through slits.; Heat Engines: Test efficiency with different fluids.; Magnetism: Study magnetic field strength in wires.; Quantum: Analyze electron patterns in a slit experiment.
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 ...
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 ...
including biology, chemistry, physics, mathematics, computer science, engineering, and. environmental science. 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.
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.
Choosing the right research topic is important for STEM (Science, Technology, Engineering, and Mathematics) students. Quantitative research focuses on numbers and data analysis, making it suitable…
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.
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.
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.
199+ Engaging Quantitative Research Topics for STEM Students. March 20, 2024 by Rupam. Discover engaging quantitative research topics for STEM students, spanning energy solutions, medical advancements, and cutting-edge technology. Explore hands-on ideas to sharpen skills and make a tangible impact on the future. Hey STEM buddy!
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.
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.
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.
An example of quantitative research topics for 12 th -grade students will come in handy if you want to score a good grade. Here are some of the best ones: The link between global warming and climate change. What is the greenhouse gas impact on biodiversity and the atmosphere.
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.
With the rapid increase in the number of scholarly publications on STEM education in recent years, reviews of the status and trends in STEM education research internationally support the development of the field. For this review, we conducted a systematic analysis of 798 articles in STEM education published between 2000 and the end of 2018 in 36 journals to get an overview about developments ...
Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology, economics, and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas ...
Trending Topic Research File. 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 ...
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.
Students engage in a 10-to-12-week program and participate in workshops, labs and an individual research project that they may select from topics provided by corresponding mentors. Students then present their research to their cohort at the conclusion of the REU just before the start of the fall semester. Launching Research and Accelerating ...
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 ...
Key Topics in GRE Quantitative Reasoning 1. Arithmetic. Arithmetic forms the foundation of many GRE Quantitative Reasoning questions. Topics include: Number Properties: Understand the properties of integers, rational numbers, and real numbers. Focus on concepts like divisibility, prime numbers, odd and even numbers, and the properties of ...