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Shared task on prediction of dropout over time in Massively Open Online Courses
Rosé, Carolyn P. and Siemens, George

PublishedOctober 2014
ConferenceThe 2014 Conference on Empirical Methods In Natural Language Processing Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses, Proceedings of the Workshop
Pages 39-41
CountryQatar

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).

Keywords MOOC attrition · MOOC research · MOOC

Published atDoha
Rightsc 2014 The Association for Computational Linguistics
URLhttp://www.aclweb.org/anthology/W/W14/W14-41.pdf#page=46
Other informationEMNLP 2014
Export optionsBibTex · EndNote · Tagged XML · Google Scholar



AVAILABLE FILES
Siemens and Rose Proceedings 2014.pdf · 174.3KB13 downloads



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