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Andrew Pendola; John Appiah; William Murrah; Clarissa Beavers – Current Issues in Education, 2025
Increasing representation of first-generation, low-income, and students of color has been considered critical in developing an inclusive and competitive future workforce. However, research has noted significant difficulties with continued engagement and persistence for those engaged in STEM-based activities, with literature showing at-promise…
Descriptors: Graduate Students, STEM Education, Research Skills, Sense of Belonging
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Alfred Marleku; Ridvan Peshkopia; D. Stephen Voss – International Journal of Mathematical Education in Science and Technology, 2025
The global push to reorient social sciences in an increasingly technical direction might have a clear labour-market justification, but the efforts face headwinds from both faculty and students. This research is concerned with the fear that students would resist such a reorientation. Much of the pedagogic social-science research seeks ways to…
Descriptors: Statistical Analysis, Student Attitudes, College Students, Computer Literacy
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Gerrit Bauer; Nate Breznau; Johanna Gereke; Jan H. Höffler; Nicole Janz; Rima-Maria Rahal; Joachim K. Rennstich; Hannah Soiné – Teaching of Psychology, 2025
Introduction: The replication crisis in the behavioral and social sciences spawned a credibility revolution, calling for new open science research practices that ensure greater transparency, including preregistrations, open data and code, and open access. Statement of the Problem: Replications of published research are an important element in this…
Descriptors: Teaching Methods, Replication (Evaluation), Behavioral Sciences, Social Sciences
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Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
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Joseph Chiarelli; Melissa A. St. Hilaire; Brandi L. Baldock; Jimmy Franco; Stephen Theberge; Anthony L. Fernandez – Journal of Chemical Education, 2025
There is a growing need for chemistry students to be able to handle and manipulate large datasets and analyze them in an efficient and accessible way. This creates the need to develop course materials that introduce these topics early in the undergraduate curriculum. To address this growing need, this activity introduced RStudio to students…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Students
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Randall E. Groth; James P. Barry – Statistics Education Research Journal, 2025
Numerous variants of Kahneman and Tversky's (1972) hospital problem have been used to investigate intuitions about the Empirical Law of Large Numbers (eLLN). A largely separate line of research has focused on interactions between context knowledge and statistical reasoning. The present study merges these two lines of research by analyzing tertiary…
Descriptors: Problem Solving, Statistical Analysis, Thinking Skills, Hospitals
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Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology
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Gabrielle Francis; Nathaniel von der Embse; David Putwain; Eunsook Kim – Journal of Psychoeducational Assessment, 2025
Standardized testing is an integral part of the English and American education systems. However, the use of high-stakes testing has unintended consequences, one of which is test anxiety. Over the last 50 years, increased attention has been directed to developing tools to identify students experiencing test anxiety. However, many test anxiety…
Descriptors: Test Anxiety, Secondary School Students, Foreign Countries, Affective Measures
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Lucy Cordes; Patrick J. McEwan; Akila Weerapana – Education Finance and Policy, 2025
Fuzzy regression-discontinuity evaluations of college remediation often find negative and null estimates of local average treatments effects (LATEs), but with substantial heterogeneity. We find that a remedial quantitative skills course at Wellesley College has a modestly positive LATE on participation in mathematically intensive fields of…
Descriptors: Remedial Mathematics, College Students, Validity, Outcomes of Education
Wendy Castillo; Rachel Renbarger; Sasha Mejia-Bradford; Christen Priddie; Juan Cruz; Brein Mosely; Katherine Aragon – Annenberg Institute for School Reform at Brown University, 2025
Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…
Descriptors: Racism, Elementary Secondary Education, Racial Discrimination, Surveys
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Onur Demirkaya; Sharon Frey; Sid Sharairi; JongPil Kim – International Electronic Journal of Elementary Education, 2025
This study compares latent profiles derived from student subgroups of varying levels of mathematical skills defined by achievement and ability assessment scores. Achievement and ability cut scores for identifying students at both ends of the mathematics spectrum were applied and the resulting latent profiles within each condition were compared.…
Descriptors: Profiles, Statistical Analysis, Academic Achievement, Mathematics Achievement
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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
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Lyrica Lucas; Anum Khushal; Robert Mayes; Brian A. Couch; Joseph Dauer – International Journal of Science Education, 2025
Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…
Descriptors: Undergraduate Students, College Science, Biology, Classroom Observation Techniques
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Alan J. Marsh; Lynne Fernie – Scottish Educational Review, 2025
There was a fundamental reform of special educational needs policy in Scotland with the ratification of the 2004 Education (Additional Support for Learning) (ASL) (Scotland) Act. This paper explores official statistics from 2008-2023 by examining variations in additional support needs (ASN) and funding across the 32 Local Authorities (LAs). The…
Descriptors: Foreign Countries, Special Education, Educational Change, Special Needs Students
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Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention