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Xing, Wanli; Zhu, Gaoxia; Arslan, Okan; Shim, Jaesub; Popov, Vitaliy – Journal of Computing in Higher Education, 2023
Engagement is critical in learning, including computer-supported collaborative learning (CSCL). Previous studies have mainly measured engagement using students' self-reports which usually do not capture the learning process or the interactions between group members. Therefore, researchers advocated developing new and innovative engagement…
Descriptors: Learning Analytics, Cooperative Learning, Learner Engagement, Learning Motivation
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Yuqin Yang; Yewen Chen; Xueqi Feng; Daner Sun; Shiyan Pang – Journal of Computing in Higher Education, 2024
Helping students gradually develop collective knowledge is critical but generally faces great challenges. Employing a quasi-experimental design, this study investigated the impacts and mechanisms of analytics-supported reflective assessment on the collective knowledge advancement of undergraduates. The experimental group (n = 55) engaged in…
Descriptors: Undergraduate Students, Learning Processes, Learning Analytics, Learner Engagement
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Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement