Educational data mining for decision-making: a framework based on student development theory

DOI

10.2991/eeeis-16.2017.76How to use a DOI?

Keywords

educational data mining; decision making; student development theory.

Abstract

Applying Educational Data Mining (EDM) for decision making is an emerging interdisciplinary research field. From the view of student development, this paper presents a framework for educational decision making, which can explore some laws and characteristics in student development to improve educational decision and quality. The paper also presents a case study to verify the effectiveness of the framework.

Copyright

© 2017, 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  - Xiao-Feng Lei
AU  - Ming Yang
AU  - Yi Cai
PY  - 2016/12
DA  - 2016/12
TI  - Educational data mining for decision-making: a framework based on student development theory
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 628
EP  - 641
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.76
DO  - 10.2991/eeeis-16.2017.76
ID  - Lei2016/12
ER  -