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conference paper

Semiautomatic Annotation of MOOC Forum Posts

Liu, Weizhe
•
Kidzinski, Lukasz
•
Dillenbourg, Pierre  
Li, Y
•
Chang, M
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2016
State-Of-The-Art And Future Directions Of Smart Learning
2nd International Conference on Smart Learning Environments (ICSLE)

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.

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Type
conference paper
DOI
10.1007/978-981-287-868-7_48
Web of Science ID

WOS:000389703400048

Author(s)
Liu, Weizhe
Kidzinski, Lukasz
Dillenbourg, Pierre  
Editors
Li, Y
•
Chang, M
•
Kravcik, M
•
Popescu, E
•
Huang, R
•
Kinshuk, K.
•
Chen, Ns
Date Issued

2016

Publisher

Springer-Verlag Singapore Pte Ltd

Publisher place

Singapore

Published in
State-Of-The-Art And Future Directions Of Smart Learning
ISBN of the book

978-981-287-868-7

978-981-287-866-3

Total of pages

10

Series title/Series vol.

Lecture Notes in Educational Technology

Start page

399

End page

408

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CEDE  
Event nameEvent placeEvent date
2nd International Conference on Smart Learning Environments (ICSLE)

Univ Craiova, Sinaia, ROMANIA

SEP 23-25, 2015

Available on Infoscience
January 24, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/133316
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