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Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention
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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