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  4. Semi-automatic annotation of MOOC forum posts
 
conference paper

Semi-automatic annotation of MOOC forum posts

Liu, Weizhe
•
Kidzinski, Lukasz  
•
Dillenbourg, Pierre  
2015
Proceedings of the 2nd International Conference on Smart Learning Environments
8th International Workshop on Social and Personal Computing for Web-Supported Learning Communities (SPeL 2015)

Massive online open courses’ (MOOCs’) students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying fac- tors. One of the reasons which hinders the analysis is the amount of manual work required for annotating posts. In this paper we use ma- chine learning techniques to extrapolate small set of annotations to the whole forum. These annotations not only allow MOOC producers to sum- marize the state of the forum, but they also allow researchers to deeper understand the role of the forum in the learning process.

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paper.pdf

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Preprint

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http://purl.org/coar/version/c_71e4c1898caa6e32

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openaccess

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4316c483331b753b11327813b8f4cd41

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