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Paek, Insu; Lin, Zhongtian; Chalmers, Robert Philip – Educational and Psychological Measurement, 2023
To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori…
Descriptors: Models, Item Response Theory, Test Items, Intervals
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Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
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Man Kit Lee, Stephen; Liu, Hey Wing; Tong, Shelley Xiuli – Scientific Studies of Reading, 2023
Purpose: Dyslexia is characterized by its diverse causes and heterogeneous manifestations. Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits across character and radical levels when writing. However, whether character dictation can be used to distinguish children with dyslexia from their typically developing…
Descriptors: Foreign Countries, Dyslexia, Disability Identification, Artificial Intelligence
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Deka, Lipika; Shereen, Peri; Wand, Jeffrey – PRIMUS, 2023
Course-based Undergraduate Research Experiences (CUREs) were originally developed by biologists to answer the call for undergraduate curriculum reform and expose more students to authentic research experiences [Wei and Woodin. 2011. Undergraduate research experiences in biology: Alternatives to the apprenticeship model. "CBE Life Sciences…
Descriptors: Undergraduate Students, Student Research, Mathematics Education, Models
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Ji, Xuejun Ryan; Wu, Amery D. – Educational Measurement: Issues and Practice, 2023
The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…
Descriptors: Measurement, Validity, Reliability, Models
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Jollands, Margaret; Stupans, Ieva; O'Connell, Brendan T. – Higher Education Research and Development, 2023
Sustained innovation in teaching and learning is needed to achieve high-quality outcomes in student learning. However, despite extensive research in teaching and learning practice, challenges are faced to translate teaching research into scholarly practice, especially in professional degrees. This article develops and proposes a new conceptual…
Descriptors: College Instruction, College Faculty, Teaching Methods, Educational Change
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Televantou, Ioulia; Marsh, Herbert W.; Xu, Kate M.; Guo, Jiesi; Dicke, Theresa – Educational Psychology Review, 2023
The present study uses doubly latent models to estimate the effect of average mathematics achievement at the class level on students' subsequent mathematics achievement (the "Peer Spillover Effect") and mathematics self-concept (the "Big-Fish-Little-Pond-Effect; BFLPE"), controlling for individual differences in prior…
Descriptors: Error of Measurement, Mathematics Achievement, Self Concept, Individual Differences
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Barwell, Richard – For the Learning of Mathematics, 2023
Our planet is facing a biodiversity crisis and mathematics is involved. In this article, I focus on reports of a wolf hunt to examine different ways in which mathematics contributes to this crisis, shapes our understanding of the ecosystem and guides future actions. My examination contributes to understanding the ethical dimension of mathematics…
Descriptors: Biodiversity, Mathematics Instruction, Mathematical Models, Poetry
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Cruz-Guzmán, Marta; García-Carmona, Antonio; Criado, Ana María – Canadian Journal of Science, Mathematics and Technology Education, 2023
Prospective preschool teachers (PPTs) need to have learning experiences with the practice of scientific modelling to be able to design appropriate lessons as teachers. In the literature on research in science education, scarce experiences of PPTs in scientific modelling can be found. This study aims to fill the knowledge gap about PPTs'…
Descriptors: Preservice Teacher Education, Preservice Teachers, Science Education, Models
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Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
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Nyhout, Angela; Sweatman, Hilary; Ganea, Patricia A. – Child Development, 2023
Children's hypothetical reasoning about a complex and dynamic causal system was investigated. Predominantly White, middle-class 5- to 7-year-old children from the Greater Toronto Area learned about novel food chains and were asked to consider the effects of removing one species on the others. In Study 1 (N = 72; 36 females, 36 males; 2018),…
Descriptors: Childrens Attitudes, Thinking Skills, Causal Models, Systems Approach
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Benjakul, Sueksa – Journal of Educators Online, 2023
Teachers use instructional design to solve problems and creatively develop and implement various concepts, theories, and techniques to design and manage the elements of teaching and learning and assess learning outcomes that are generally accepted according to Bloom's taxonomy, in which the cognitive domains of lower-order thinking connect to…
Descriptors: Instructional Design, Constructivism (Learning), Thinking Skills, Electronic Learning
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Schukajlow, Stanislaw; Kaiser, Gabriele; Stillman, Gloria – Mathematical Thinking and Learning: An International Journal, 2023
Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…
Descriptors: Mathematics Instruction, Metacognition, Mathematical Models, Learning Activities
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Kafka, Judith; Wilson, Adam – Urban Review: Issues and Ideas in Public Education, 2023
This article uses interest convergence and market-based theories to examine a recently-adopted controlled choice school admissions model intended to desegregate a diverse, urban school district. Drawing on longitudinal, qualitative interviews with advantaged parents who articulated support for controlled choice, we find that these parents'…
Descriptors: School Desegregation, Educational Change, Admission (School), Models
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Fu, Eugene Yujun; Ngai, Grace; Leong, Hong Va; Chan, Stephen C. F.; Shek, Daniel T. L. – Education and Information Technologies, 2023
As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…
Descriptors: Service Learning, Prediction, Outcomes of Education, Artificial Intelligence
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