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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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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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Lin, Chin-Tsai; Chang, Shih-Jui; Chen, Yung-Hui – Journal of Educational Computing Research, 2022
With the progress and innovation of digital technology, people's knowledge acquisition, information exchange, and communication modes have changed significantly. The universality of emerging technology media enables instructional designers to use digital media to provide different teaching materials and teaching methods to meet the needs of…
Descriptors: Introductory Courses, Computer Science Education, Computer Uses in Education, Educational Technology
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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
Kishor Datta Gupta – ProQuest LLC, 2021
Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…
Descriptors: Artificial Intelligence, Cybernetics, Information Processing, Information Security
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Jabbour, Randa; McClelland, Shelby C.; Schipanski, Meagan E. – Natural Sciences Education, 2021
Global food systems contribute to greenhouse gas emissions, and the mitigation of these emissions is a critical component of addressing the challenge of climate change. A variety of decision-support tools are available for agricultural producers to use to estimate how their management decisions affect emissions. These tools, often free and online,…
Descriptors: Agricultural Production, Food, Ecology, Climate
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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