Original paper
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
Abstract
Massive open online courses (MOOCs) have recently taken center stage in discussions surrounding online education, both in terms of their potential as well as their high dropout rates. The high attrition rates associated with MOOCs have often been described in terms of a scale-efficacy tradeoff. Building from the large numbers associated with MOOCs and the ability to track individual student performance, this study takes an initial step towards a...
Paper Details
Title
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
Published Date
May 1, 2016
Journal
Volume
58
Pages
119 - 129
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Notes
History