Proceedings of the 2014 International Conference on Education, Management and Computing Technology

The Adaptive Teaching in the Setting of Big Data

Authors
Li He
Corresponding Author
Li He
Available Online June 2014.
DOI
10.2991/icemct-14.2014.79How to use a DOI?
Keywords
big data, adaptive teaching system,learning analytics, educational data mining
Abstract

Education is one of important application fields of big data, and with the technology developing of big data, education data in scale is becoming larger and larger, and the breadth and depth of data are expanding. Through techniques of learning analytics and educational data mining, educators can get information of students’ learning performances, such as learning attitudes, interests and effects, predict students’ learning behaviors in future, find the possible problems hidden in the process of learning, and then try to provide the most suitable teaching contents and activities for the adaptive teaching. This paper discussed the influences of big data on education and teaching, expounded the applications of learning analytics and educational data mining in the adaptive teaching, and lastly presented a functional structure of a typical adaptive teaching system.

Copyright
© 2014, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2014 International Conference on Education, Management and Computing Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/icemct-14.2014.79
ISSN
1951-6851
DOI
10.2991/icemct-14.2014.79How to use a DOI?
Copyright
© 2014, 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/).

Cite this article

TY  - CONF
AU  - Li He
PY  - 2014/06
DA  - 2014/06
TI  - The Adaptive Teaching in the Setting of Big Data
BT  - Proceedings of the 2014 International Conference on Education, Management and Computing Technology
PB  - Atlantis Press
SP  - 341
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemct-14.2014.79
DO  - 10.2991/icemct-14.2014.79
ID  - He2014/06
ER  -