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Youn Seon Lim – Applied Measurement in Education, 2024
Educational testing has been criticized for its disconnect from modern cognitive science and its limited role in improving instruction and student learning. Reform efforts emphasize the need for testing to provide specific diagnostic insights into students' skills and knowledge. Cognitive diagnosis (CD), an emerging paradigm in educational…
Descriptors: Q Methodology, Matrices, Models, Design
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Lee Wolff; Haydn Till; Bruce Watt – Journal of Psychoeducational Assessment, 2025
Fetal Alcohol Spectrum Disorder (FASD) is a significant public health concern arising from prenatal alcohol exposure. This study examines the clinical utility of Wechsler intelligence tests in assessing cognition in 108 children with confirmed prenatal alcohol exposure. Data were analysed using multidimensional scaling and Guttman's Structural…
Descriptors: Fetal Alcohol Syndrome, Intelligence Tests, Children, Multidimensional Scaling
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Wenchao Ma; Miguel A. Sorrel; Xiaoming Zhai; Yuan Ge – Journal of Educational Measurement, 2024
Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual-purpose model for simultaneously estimating students' overall ability and the presence and absence of…
Descriptors: Models, Misconceptions, Diagnostic Tests, Ability
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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
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Davi Bernardo Silva; Deborah Ribeiro Carvalho; Carlos N. Silla – IEEE Transactions on Learning Technologies, 2024
Throughout a programming course, students develop various source code tasks. Using these tasks to track students' progress can provide clues to the strengths and weaknesses found in each learning topic. This practice allows the teacher to intervene in learning in the first few weeks of class and maximize student gains. However, the biggest…
Descriptors: Computation, Models, Ability Grouping, Programming
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Yicong Zheng; Aike Shi; Xiaonan L. Liu – npj Science of Learning, 2024
This Perspective article expands on a working memory-dependent dual-process model, originally proposed by Zheng et al., to elucidate individual differences in the testing effect. This model posits that the testing effect comprises two processes: retrieval-attempt and post-retrieval re-encoding. We substantiate this model with empirical evidence…
Descriptors: Short Term Memory, Models, Individual Differences, Testing
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Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
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Rieke Ammoneit; Maximilian Felix Göhner; Tom Bielik; Moritz Krell – Science Education, 2024
Definitions of modeling competence in science education do not yet include noncognitive factors. However, noncognitive factors are central to competence and might thus substantially improve our understanding of modeling competence. In this article, we analyze volition during preservice science teachers' engagement with a black-box modeling task…
Descriptors: Models, Science Education, Preservice Teachers, Science Teachers
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Javed Iqbal; Tanweer Ul Islam – Educational Research and Evaluation, 2024
Economic efficiency demands accurate assessment of individual ability for selection purposes. This study investigates Classical Test Theory (CTT) and Item Response Theory (IRT) for estimating true ability and ranking individuals. Two Monte Carlo simulations and real data analyses were conducted. Results suggest a slight advantage for IRT, but…
Descriptors: Item Response Theory, Monte Carlo Methods, Ability, Statistical Analysis
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Hari Jang; Meng Ee Wong – Asia Pacific Journal of Education, 2025
The concept of meritocracy stands as a fundamental ethos within the governance and educational paradigms in Singapore. This principle, notwithstanding its intrinsic paradoxes -- most notably, the juxtaposition of egalitarian ideals against elitist practices -- remains steadfastly upheld, with no indications of waning in the foreseeable future. A…
Descriptors: Foreign Countries, Inclusion, Social Systems, Special Needs Students
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Helen Crompton; Sarah Ferguson – European Journal of Science and Mathematics Education, 2024
Geometry and spatial reasoning form the foundations of learning in mathematics. However, geometry is a subject often ignored by curriculum writers and teachers until high school, leading to students lacking in critical skills in geometric reasoning. As the United States moves into a new curriculum epoch, heralding the commencement of the national…
Descriptors: Geometry, Spatial Ability, Elementary Education, National Standards
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Christina A. Bauer; Aashna Poddar; Eddie Brummelman; Andrei Cimpian – Educational Psychology Review, 2025
As societies worldwide grapple with substantial educational inequities, understanding their underlying causes remains a priority. Here, we introduce the Brilliance-Belonging Model, a novel theoretical framework that illuminates how cultural beliefs about exceptional intellectual ability create inequities through their impact on students' sense of…
Descriptors: Equal Education, Models, Cultural Influences, Beliefs
Robert J. Sternberg – Gifted Child Quarterly, 2024
This article proposes a duplex model for understanding giftedness. The first part of the duplex is the set of gifted skills and attitudes that one possesses as a result of heredity, the environment, and their interaction. It is the input that one has acquired from one's life experiences. The second part of the duplex is the utilization or…
Descriptors: Gifted, Individual Characteristics, Ability, Models
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Sarah N. Abdo; Jeremy L. Hsu; Constantine Kapetanakis; Dina L. Newman; L. Kate Wright; Jennifer Bailey – Journal of Chemical Education, 2024
Effective spatial visualization and reasoning skills are often credited for students' success in science and engineering courses. However, students enrolled in these science courses are not always exposed to or trained properly on the best ways to utilize models to aid in their learning. Improving spatial visualization techniques with 3D models,…
Descriptors: Models, Visual Aids, Concept Formation, Molecular Structure
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Greta Roettgen; Lindsey Peters-Sanders; Elizabeth Burke Hadley; Howard Goldstein; Elizabeth Spencer Kelley – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: One challenge to the design and delivery of effective vocabulary intervention is the selection of vocabulary targets. The purpose of this study was to examine the relation of word characteristics to vocabulary learning from explicit vocabulary intervention. Method: This study was a secondary analysis of data from two recent efficacy…
Descriptors: Preschool Children, Preschool Education, Vocabulary Development, Vocabulary Skills
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