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Boroujeni, Mina Shirvani; Dillenbourg, Pierre – Journal of Learning Analytics, 2019
The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personalized and more effective support mechanisms for learners. In this paper, we present two…
Descriptors: Online Courses, Large Group Instruction, Learning Processes, Study Habits
Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education