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Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.
102
Citations
13
References
2015
Year
EngineeringMachine LearningEducationOnline LearningArticial Neural NetworkMultimodal Sentiment AnalysisStudent AttritionStudent OutcomeSentiment AnalysisText MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningAffective ComputingAutomatic ClassificationPredictive AnalyticsKnowledge DiscoveryEducational Data MiningIntelligent ClassificationLearning AnalyticsComputer ScienceNeural Networks
While there is increase in popularity of massive open online courses in recent years, high rates of drop-out in these courses makes pre- dicting student attrition an important problem to solve. In this paper, we propose an algorithm based on articial neural network for predict- ing student attrition in MOOCs using sentiment analysis and show the signicance of student sentiments in this task. To the best of our knowl- edge, use of user sentiments and neural networks for this task is novel and our algorithm beats the state-of-the-art algorithm on this task in terms of Cohen's kappa.
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