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Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
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Cho, Moon-Heum; Lim, Seongmi; Lee, Kyeonghwa – Australasian Journal of Educational Technology, 2017
Students often complain about unsatisfactory experiences resulting from disproportionate contributions to collaborative projects. To improve the experience, we applied regulation theory to design a process to document regulation on a blog and examined whether such documentation enhanced students' self-regulation and co-regulation skills while…
Descriptors: Preservice Teachers, Metacognition, Electronic Publishing, Collaborative Writing
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Cho, Moon-Heum; Heron, Michele L. – Distance Education, 2015
Enrollment in online remedial mathematics courses has increased in popularity in institutions of higher learning; however, students unskilled in self-regulated learning (SRL) find online remedial mathematics courses particularly challenging. We investigated the role of SRL, specifically motivation, emotion, and learning strategies, in students'…
Descriptors: Metacognition, Learning Strategies, Independent Study, Mathematics Instruction