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Shu Cheng; Kian Vanluyten; Phillip Ward; Jan Seghers; Tonghe Zhang; Peter Iserbyt – Journal of Teaching in Physical Education, 2025
Purpose: We investigated elementary school children's voluntary participation in parkour and team handball recess during generalization and maintenance by skill level and sex. Methods: In six schools, 45 girls and 68 boys from different classes received a 10-lesson sport education parkour (second grade) and team handball (third grade) season in…
Descriptors: Physical Education, Student Participation, Team Sports, Athletics
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Sarah E. Frampton; Judah B. Axe – Analysis of Verbal Behavior, 2025
Technology offers exciting possibilities for instruction with learners with autism spectrum disorder (ASD), but limited research has evaluated the use of web-based applications (apps) as learning tools for this population. We wondered if using apps would function as a precurrent response to solve problems in the form of questions on a worksheet.…
Descriptors: Technology Uses in Education, Students with Disabilities, Autism Spectrum Disorders, Computer Software
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Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
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Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle McNamara – International Educational Data Mining Society, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
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Irene Polo-Blanco; Maria Chimoni; Juncal Goñi-Cervera; Demetra Pitta-Pantazi – Educational Studies in Mathematics, 2025
This study explores ASD (Autism Spectrum Disorder) students' early algebraic thinking abilities by comparing them to their non-ASD peers. The first aim was to examine whether possible significant differences between ASD and non-ASD students in arithmetic also extend to early algebra. The second aim focused further on early algebraic thinking,…
Descriptors: Autism Spectrum Disorders, Algebra, Mathematics Skills, Arithmetic
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Normile, Ian H. – Studies in Philosophy and Education, 2023
Much of the literature exploring Chinese international student engagement with critical thinking in Western universities draws on reductive essentialisations of 'Confucianism' in efforts to explain cross-cultural differences. In this paper I review literature problematising these tendencies. I then shift focus from inferences about how philosophy…
Descriptors: Asian Culture, Philosophy, Confucianism, Critical Thinking
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Chalmers, R. Philip; Zheng, Guoguo – Applied Measurement in Education, 2023
This article presents generalizations of SIBTEST and crossing-SIBTEST statistics for differential item functioning (DIF) investigations involving more than two groups. After reviewing the original two-group setup for these statistics, a set of multigroup generalizations that support contrast matrices for joint tests of DIF are presented. To…
Descriptors: Test Bias, Test Items, Item Response Theory, Error of Measurement
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Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
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Harmon, Zara; Barak, Libby; Shafto, Patrick; Edwards, Jan; Feldman, Naomi H. – Developmental Science, 2023
Children with developmental language disorder (DLD) regularly use the bare form of verbs (e.g., dance) instead of inflected forms (e.g., danced). We propose an account of this behavior in which processing difficulties of children with DLD disproportionally affect processing novel inflected verbs in their input. Limited experience with inflection…
Descriptors: Developmental Disabilities, Language Impairments, Children, Language Processing
Jia Tracy Shen – ProQuest LLC, 2023
In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…
Descriptors: Artificial Intelligence, Electronic Learning, Data, Generalization
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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
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Karina J. Wilkie; Sarah Hopkins – Educational Studies in Mathematics, 2024
An important approach for developing children's algebraic thinking involves introducing them to generalized arithmetic at the time they are learning arithmetic. Our aim in this study was to investigate children's attention to and expression of generality with the subtraction-compensation property, as evidence of a type of algebraic thinking known…
Descriptors: Elementary School Mathematics, Elementary School Students, Mathematics Skills, Subtraction
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Yongze Xu – Educational and Psychological Measurement, 2024
The questionnaire method has always been an important research method in psychology. The increasing prevalence of multidimensional trait measures in psychological research has led researchers to use longer questionnaires. However, questionnaires that are too long will inevitably reduce the quality of the completed questionnaires and the efficiency…
Descriptors: Item Response Theory, Questionnaires, Generalization, Simulation
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Milena Carolina dos Santos Mangueira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino; Elen Viviani Pereira Spreafico – Pedagogical Research, 2024
This work is a segment of an ongoing doctoral research in Brazil. The Leonardo numbers and the Leonardo sequence have gained attention from mathematicians and the academic community. Despite being a relatively new sequence within mathematical literature, its discussion has intensified over the past five years, giving rise to other branches, with…
Descriptors: Mathematics Instruction, Teaching Methods, Doctoral Students, Mathematics
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Ilker Cingillioglu; Uri Gal; Artem Prokhorov – Education and Information Technologies, 2024
This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting double-blind online randomized controlled trials (RCTs) for higher education research. The process of the entire interaction with the participants (n = 1193) and their allocation to test and control…
Descriptors: Artificial Intelligence, Higher Education, Comparative Analysis, College Choice
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