Constructing knowledge map for MOOC using data mining methods

DOI

10.2991/msetasse-15.2015.204How to use a DOI?

Keywords

MOOC; data mining; k-means clustering; knowledge map

Abstract

Although Massive Open Online Courses(MOOCs) have become a way of online study used by millions of peopleacross the world, so many websites and courses often confuse people that they can’t choose the courses they need quickly and accurately. In this paper, we present an approach that constructknowledge map for courses using data mining methods. The data mining algorithm combines all the courses of several MOOC websites, and takes the text descriptions of the courses given in the website into account. People can choose corresponding knowledge map for a series of courses according to their needs.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junmeng Hou
AU  - Ruifang Liu
AU  - Yu Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Constructing knowledge map for MOOC using data mining methods
BT  - Proceedings of the 2015 3rd International Conference on Management Science, Education Technology, Arts, Social Science and Economics
PB  - Atlantis Press
SP  - 938
EP  - 943
SN  - 2352-5398
UR  - https://doi.org/10.2991/msetasse-15.2015.204
DO  - 10.2991/msetasse-15.2015.204
ID  - Hou2015/11
ER  -