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Xing, Wanli; Du, Dongping – Journal of Educational Computing Research, 2019
Massive open online courses (MOOCs) show great potential to transform traditional education through the Internet. However, the high attrition rates in MOOCs have often been cited as a scale-efficacy tradeoff. Traditional educational approaches are usually unable to identify such large-scale number of at-risk students in danger of dropping out in…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Jo, Jaechoon; Yu, Wonhui; Koh, Kyu Han; Lim, Heuiseok – Journal of Educational Computing Research, 2018
We propose a minimum learning judgment system that is appropriate for online learning environments, and we verify this minimum learning judgment system through various experiments. By focusing on the learning effort, this system can easily and quickly determine whether learners have exerted the minimum effort required for learning. To do this, the…
Descriptors: Educational Games, Educational Technology, Technology Uses in Education, Word Recognition
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Ertmer, Peggy A.; Richardson, Jennifer C.; Lehman, James D.; Newby, Timothy J.; Cheng, Xi; Mong, Christopher; Sadaf, Ayesha – Journal of Educational Computing Research, 2010
This study examined students' perceptions of peer feedback and learning in a large, undergraduate course that incorporated supplementary online discussions. Peer feedback (PF) was facilitated via an automated rating system, within Blackboard discussion forums, for half of the students enrolled in the course. Following the peer feedback process,…
Descriptors: Feedback (Response), Student Attitudes, Peer Evaluation, Education Courses