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Study Partners Recommendation for xMOOCs learners.

Xu B, Yang D - Comput Intell Neurosci (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Computing Center, Northeastern University, Shenyang 110819, China.

ABSTRACT
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.

Show MeSH
The relationships between the forum users.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig5: The relationships between the forum users.

Mentions: In the course forum, each conversation not only transferred information from one user to another user, but also established a relationship edge between two users. According to the structure of course forum in Coursera, all the messages in the same thread focus on the same problem and contain many posts and comments. Therefore, there are edges between thread starter and all poster and commenter in the thread; there are also edges between posters and all comments in the same post. All probable edges in one thread are demonstrated in Figure 5. Among them, the edge from poster to thread starter (edge E1) and the edge from commenter to poster (edge E2) are direct edges, while the edge from commenter to thread starter (edge E3) is indirect one.


Study Partners Recommendation for xMOOCs learners.

Xu B, Yang D - Comput Intell Neurosci (2015)

The relationships between the forum users.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4309214&req=5

fig5: The relationships between the forum users.
Mentions: In the course forum, each conversation not only transferred information from one user to another user, but also established a relationship edge between two users. According to the structure of course forum in Coursera, all the messages in the same thread focus on the same problem and contain many posts and comments. Therefore, there are edges between thread starter and all poster and commenter in the thread; there are also edges between posters and all comments in the same post. All probable edges in one thread are demonstrated in Figure 5. Among them, the edge from poster to thread starter (edge E1) and the edge from commenter to poster (edge E2) are direct edges, while the edge from commenter to thread starter (edge E3) is indirect one.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Computing Center, Northeastern University, Shenyang 110819, China.

ABSTRACT
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.

Show MeSH