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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
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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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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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Jennifer L. Steele; Johanna Watzinger-Tharp; Robert O. Slater; Gregg Roberts; Karl Bowman – Grantee Submission, 2024
The rising demand for dual-language immersion (DLI) programs, which offer core instruction in two languages from early grades onward, has raised questions about program design and access. We leverage the rapid expansion of DLI schools across the U.S. state of Utah to estimate effects of DLI program availability on the academic achievement of…
Descriptors: Immersion Programs, Bilingual Education Programs, Educational Benefits, Second Language Learning
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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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Amy Adair – Grantee Submission, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Scaffolding (Teaching Technique)