Study Partners Recommendation for xMOOCs Learners
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Massive open online courses (MOOCs) provide an opportunity for people to access free courses offered by top universities in the world and therefore attracted great attention and engagement from college teachers and students.
However, with contrast to large scale enrollment, the completion rate of these courses is really low.
One of the reasons for students to quit learning process is problems which they face that could not be solved by discussing them with classmates.
In order to keep them staying in the course, thereby further improving the completion rate, we address the task of study partner recommendation for students based on both content information and social network information.
By analyzing the content of messages posted by learners in course discussion forum, we investigated the learners’ behavior features to classify the learners into three groups.
Then we proposed a topic model to measure learners’ course knowledge awareness.
Finally, a social network was constructed based on their activities in the course forum, and the relationship in the network was then employed to recommend study partners for target learner combined with their behavior features and course knowledge awareness.
The experiment results show that our method achieves better performance than recommending method only based on content information.
American Psychological Association (APA)
Xu, Bin& Yang, Dan. 2015. Study Partners Recommendation for xMOOCs Learners. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057767
Modern Language Association (MLA)
Xu, Bin& Yang, Dan. Study Partners Recommendation for xMOOCs Learners. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057767
American Medical Association (AMA)
Xu, Bin& Yang, Dan. Study Partners Recommendation for xMOOCs Learners. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057767
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057767