Shared task on prediction of dropout over time in Massively Open Online Courses
| Published | October 2014 |
| Conference | The 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 |
| Country | 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).| Keywords | MOOC attrition · MOOC research · MOOC |
| Published at | Doha |
| Rights | c 2014 The Association for Computational Linguistics |
| URL | http://www.aclweb.org/anthology/W/W14/W14-41.pdf#page=46 |
| Other information | EMNLP 2014 |
| Export options | BibTex · EndNote · Tagged XML · Google Scholar |
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