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Lee, Hsin-Yu; Cheng, Yu-Ping; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Educational Computing Research, 2023
Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…
Descriptors: Learning Processes, Instructional Effectiveness, STEM Education, Student Behavior
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Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
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Liu, Ming-Chou; Wang, Jhen-Yu – Educational Technology & Society, 2010
Theme-based learning (TBL) refers to learning modes which adopt the following sequence: (a) finding the theme; (b) finding a focus of interest based on the theme; (c) finding materials based on the focus of interest; (d) integrating the materials to establish shared knowledge; (e) publishing and sharing the integrated knowledge. We have created an…
Descriptors: Foreign Countries, Concept Mapping, Elementary School Students, Cognitive Style