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Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
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Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
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Suchitporn Lersilp; Kewalin Panyo; Supawadee Putthinoi; Hsiu Yun Hsu; Li-Chieh Kuo; Napalai Chaimaha – Journal of Occupational Therapy, Schools & Early Intervention, 2024
The decision support system (DSS) provides systematic data for improving effective decision-making by school-based occupational therapists (SBOTs) in healthcare services. The purposes of this study were to develop the DSS and investigate its usability in providing the occupational therapy (OT) service for students with disabilities during…
Descriptors: Students with Disabilities, Occupational Therapy, Decision Support Systems, School Health Services