Abstract: Increasing rates of student drop-outs with increase in popularity of Massive Open Online Courses (MOOCs) makes predicting student attrition an important problem to solve. Recently, we developed an algorithm based on artificial neural network for predicting student attrition in MOOCs using student sentiments. In this paper, we present a web-based tool based on our algorithm which can be used by educators to predict and reduce attrition during a course and by researchers to design and train their own system to predict student attrition.
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 2
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