Shared task on prediction of dropout over time in massively open online courses
Date
2014
Authors
Rosé, C.P.
Siemens, G.
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Conference paper
Citation
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp.39-41
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2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (25 Oct 2014 - 29 Oct 2014 : Doha, Qatar)
Abstract
The shared task on Prediction of Dropout Over Time in MOOCs involves analysis of data from 6 MOOCs offered through Coursera. Data from one MOOC with approximately 30K students was distributed as training data and consisted of discussion forum data (in SQL) and clickstream data (in JSON format). The prediction task was Predicting Attrition Over Time. Based on behavioral data from a week’s worth of activity in a MOOC for a student, predict whether the student will cease to actively participate after that week. This paper describes the task. A full write up of the results is published separately (Rosé & Siemens, 2014).
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Copyright 2014 The Association for Computational Linguistics