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Danielle S. McNamara – Grantee Submission, 2024
Our primary objective in this Special Issue was to respond to potential criticisms of AIED in potentially "perpetuating poor pedagogic practices, datafication, and introducing classroom surveillance" and to comment on the future of AIED in its coming of age. My overarching assumption in response to this line of critiques is that humans…
Descriptors: Educational Practices, Educational Quality, Intelligent Tutoring Systems, Artificial Intelligence
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Kristin Michod Gagnier; Steven J. Holochwost; Melissa Ceren; Kelly R. Fisher – Grantee Submission, 2024
American students continue to perform poorly on national and international assessments of Science, Technology, Engineering, and Mathematics (STEM) competencies, and achievement gaps spanning racial/ethnic and socioeconomic lines emerge early and widen over time. Scholars and practitioners agree that expanding access to high-quality STEM education…
Descriptors: Elementary School Students, STEM Education, Disproportionate Representation, Scientific Attitudes
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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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Catheryn A. Orihuela; Retta Evans; Sylvie Mrug – Grantee Submission, 2024
Background: Despite the establishment of the Healthy, Hunger-Free Kids Act (HHFKA) in 2010, child nutrition programs continue to experience challenges impacting participation. Prior qualitative studies have explored how to reduce barriers to implementation of these programs in schools, but few studies have examined attitudes held by students, who…
Descriptors: Middle School Students, Child Health, Federal Legislation, Nutrition
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Lisa M. Lopez; Matthew E. Foster; Shaunacy Sutter; Karen Nylund-Gibson; Dina A. N. Arch – Grantee Submission, 2024
Emerging research suggests English and Spanish proficiencies of young Latine dual language learners (DLLs) are heterogeneous, including subgroups characterized by varying levels of English and Spanish dominance and proficiencies. However, there is limited understanding of contextual factors associated with the formation of DLL profiles. This study…
Descriptors: Federal Programs, Low Income Students, Social Services, Preschool Children
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Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
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Jiaying Xiao; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…
Descriptors: Error of Measurement, Models, Evaluation Methods, Item Analysis
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Jesse Rothstein; Johanna Lacoe; Sam Ayers; Karla Palos Castellanos; Elise Dizon-Ross; Anna Doherty; Jamila Henderson; Jennifer Hogg; Sarah Hoover; Alan Perez; Justine Weng – Grantee Submission, 2024
Food insecurity is widespread among college students in the United States. Food benefits delivered through the CalFresh program, California's version of the federal Supplemental Nutrition Assistance Program (SNAP), can reduce hunger by helping students pay for groceries, but may not reach all eligible students. To date, higher education systems…
Descriptors: Federal Programs, Nutrition, Welfare Services, Eligibility
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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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Taylor Enoch-Stevens; Eupha Jeanne Daramola; Huriya Jabbar; Julie Marsh – Grantee Submission, 2024
Charter school policy represents two simultaneous forms of accountability, in which schools are accountable to both parents and authorizers. This study of a K-8 charter renewal decision interrogates these accountability relationships and the role of race and power in privileging the interests of particular stakeholders over others. Using…
Descriptors: Accountability, Charter Schools, Low Income Students, African American Students
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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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Julianna Washington; Candace Walkington – Grantee Submission, 2024
This article explores the use of Extended Reality (XR) technologies, such as Augmented Reality (AR) and motion capture, in mathematics instruction, specifically focusing on geometry learning. Our research highlights the challenges students face in learning geometry due to its abstract nature and the potential of XR technologies to create…
Descriptors: Mathematics Instruction, Geometry, Physical Environment, Simulated Environment
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Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
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Alan Perez; Sarah Hoover; Jamila Henderson; Jennifer Hogg; Johanna Lacoe; Jesse Rothstein – Grantee Submission, 2024
Food insecurity is widespread among college students in the United States. CalFresh food benefits, known federally as the Supplemental Nutrition Assistance Program, or SNAP, can help students in California pay for food, but may not reach all eligible students. To better measure student participation in CalFresh, the California Policy Lab (CPL)…
Descriptors: Hunger, College Students, Student Participation, Food
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Alan Perez; Sarah Hoover; Jamila Henderson; Jennifer Hogg; Johanna Lacoe; Jesse Rothstein – Grantee Submission, 2024
Food insecurity is widespread among college students in the United States. CalFresh food benefits, known federally as the Supplemental Nutrition Assistance Program, or SNAP, can help students in California pay for food, but may not reach all eligible students. To better measure student participation in CalFresh, the California Policy Lab (CPL)…
Descriptors: Hunger, College Students, Student Participation, Food
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