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Lee, Youngnam; Kim, Byungsoo; Shin, Dongmin; Kim, JungHoon; Baek, Jineon; Lee, Jinhwan; Choi, Youngduck – International Educational Data Mining Society, 2020
Intelligent Tutoring Systems (ITSs) have been developed to provide students with personalized learning experiences by adaptively generating learning paths optimized for each individual. Within the vast scope of ITS, score prediction stands out as an area of study that enables students to construct individually realistic goals based on their…
Descriptors: Intelligent Tutoring Systems, Prediction, Scores, Learner Engagement
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Kang, Donghyun – AERA Online Paper Repository, 2019
Research suggests that quality teacher-student relationship promotes student development in various domains including school engagement which consists of behavioral, cognitive, and emotional components. While associations between school engagement and academic achievement have been widely studies, predictors of school engagement have been less…
Descriptors: Teacher Student Relationship, Learner Engagement, Correlation, Elementary School Students
Jung, Jaewon – International Association for Development of the Information Society, 2015
The purpose of this study was to research the effect of the rubric on the level of learners' cognitive engagement and to explore the effectiveness of Web-based concurrent discussions experienced by learners. The participants were 20 undergraduate students of D Women's University and they were divided into six groups for concurrent discussions in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Mediated Communication, Group Discussion