Semiautomatic Annotation of MOOC Forum Posts

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 factors. One of the reasons which hinders the analysis is the amount of manual work required for annotating posts. In this paper, we use machine learning techniques to extrapolate small set of annotations to the whole forum. These annotations not only allow MOOC producers to summarize the state of the forum, but they also allow researchers to deeper understand the role of the forum in the learning process.


Editor(s):
Li, Y
Chang, M
Kravcik, M
Popescu, E
Huang, R
Kinshuk, K.
Chen, Ns
Published in:
State-Of-The-Art And Future Directions Of Smart Learning, 399-408
Presented at:
2nd International Conference on Smart Learning Environments (ICSLE), Univ Craiova, Sinaia, ROMANIA, SEP 23-25, 2015
Year:
2016
Publisher:
Singapore, Springer-Verlag Singapore Pte Ltd
ISSN:
2196-4963
ISBN:
978-981-287-868-7
978-981-287-866-3
Laboratories:




 Record created 2017-01-24, last modified 2018-04-29


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