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Language to Completion: Success in an Educational Data Mining Massive Open Online Class
Educational Data Mining
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused on click-streams, demographics, and sentiment analysis. This study uses natural language processing (NLP) to examine if the language in the discussiondblp:conf/edm/CrossleyMBWPBB15 fatcat:ycdt25qeubdhhfqqxlvj266pry