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Showing 1 to 15 of 24 results Save | Export
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Alexander Vincent Struck Jannini; Zeynep Akdemir; Muhsin Menekse – Grantee Submission, 2024
Background: Achievement goal theory is a popular motivational theory within education and psychology, with several review papers summarizing the extensive work done in these fields. Although reviews exist in these specific fields, none exists within science, technology, engineering, and mathematics (STEM) education. This is a considerable gap in…
Descriptors: Undergraduate Students, College Science, STEM Education, Science Achievement
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Carly A. Roberts; Elizabeth H. Saliba; Erin M. Stewart – Grantee Submission, 2024
There is an expanding body of research focused on exploring inclusive science learning for students with complex support needs. The aim of this qualitative case study was to explore how a research partnership focused on expanding inclusive science learning for students with complex support needs (CSN) could support the learning of a focal student…
Descriptors: Science Education, Special Needs Students, Autism Spectrum Disorders, Regular and Special Education Relationship
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Laura Holian; Catharine Warner-Griffin; Benjamin P. Gold – Grantee Submission, 2024
The purpose of this study was to understand if a STEM camp (Gear Up 4 STEM) offered during school breaks could improve science outcomes and engagement of elementary school students. This study followed two cohorts of students in Knox County Schools (grades 3, 4, and 5) over one school year and assessed their performance on the state administered…
Descriptors: Program Evaluation, Program Effectiveness, Elementary School Students, Science Achievement
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Kevin R. Binning; Danny Doucette; Beverly G. Conrique; Chandralekah Singh – Grantee Submission, 2024
Gender diversity signals inclusivity, but meta-analyses suggest that it does not boost individual or group performance. This research examined whether a social-psychological intervention can unlock the benefits of gender diversity on college physics students' social and academic outcomes. Analyses of 124 introductory physics classrooms at a large…
Descriptors: Sex, Student Diversity, Intervention, College Students
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Katarzyna Pomian Bogdanov – Grantee Submission, 2024
Teachers often rely on curricular materials as support for implementing reform-based science practices and as educative materials to continue developing ways in which they teach and approach science. Therefore, it is important to understand how teachers develop and use curricular materials and how they learn from their experiences. However, we…
Descriptors: Instructional Materials, Material Development, Values, Science Curriculum
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
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Tricia A. Zucker; Michael P. Mesa; Michael A. Assel; Cheryl McCallum; Dana DeMaster – Grantee Submission, 2024
Introduction: Early informal learning experiences are essential for sparking long-term interest in science, technology, engineering, and math (STEM). In a prior study, we found more promising parent involvement outcomes when families of young children were provided with STEM family education events along with home STEM activity kits compared to…
Descriptors: STEM Education, Learning Activities, Science Activities, Parent Participation
Kim Luttgen; Kevin Huang; Eunice Chow; Shuangting Yang; Linlin Li – Grantee Submission, 2024
Rural students often face challenges in receiving high-quality education in science, technology, engineering, and math (STEM). Yet without meaningful STEM educational opportunities, rural students might not develop the knowledge and skills needed to compete in a technology-driven workforce. The Learning by Making program (LbyM), an innovative…
Descriptors: Rural Schools, STEM Education, Educational Innovation, Achievement Gap
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Gale A. Mentzer; Peter Paprzycki – Grantee Submission, 2024
Because standardized tests in science are not given to PreK-3 students in Ohio, this report examined the longitudinal effects of learning from a teacher who had participated in the NURTURES professional development program. Specifically, it looked at the effects on students' mathematics and reading learning in grades 2-5 and science learning in…
Descriptors: Longitudinal Studies, Program Evaluation, Program Effectiveness, Faculty Development
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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
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David Menendez; Andrea Marquardt Donovan; Olympia N. Mathiaparanam; Vienne Seitz; Nour F. Sabbagh; Rebecca E. Klapper; Charles W. Kalish; Karl S. Rosengren; Martha W. Alibali – Grantee Submission, 2024
Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected…
Descriptors: Children, Childrens Attitudes, Beliefs, Genetics
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Ruoxuan Li; Lijuan Wang – Grantee Submission, 2024
Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…
Descriptors: Social Science Research, Causal Models, Formative Evaluation, Measurement
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Chenchen Ma; Jing Ouyang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…
Descriptors: Algorithms, Item Response Theory, Scoring, Accuracy
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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
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Melis Muradoglu; Sophie H. Arnold; Aashna Poddar; Adam Stanaland; Duygu Yilmaz; Andrei Cimpian – Grantee Submission, 2024
Women and people of colour are underrepresented in physics in many parts of the world, to the detriment of the field. How do academics' beliefs about the role of 'brilliance' in career success contribute to these representation gaps, and what can be done to address them?
Descriptors: Physics, Science Teachers, College Faculty, Equal Opportunities (Jobs)
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