Analysis and Designing of Educational Big Data Mining System for Higher Education

DOI

10.2991/sser-18.2018.39How to use a DOI?

Keywords

Big Data; EDM (Educational Data Mining); Cloud Service; Hadoop

Abstract

In order to realize deep excavation and application of educational big data in higher education, multi-disciplinary theories such as pedagogy, computer science, statistics and informatics are helpful. Hadoop of big data mining cloud service is utilized to construct big data mining system for higher education. Data mining technology and statistical analysis are used to deal with the massive data collected during the undergraduate teaching evaluation of Qujing normal university. Making full use of the system can achieve more accurate and efficient management for universities, also including intelligent teaching and learning. Besides, it can improve the quality of education and teaching in higher education.

Copyright

© 2018, 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  - Jing Dong
PY  - 2018/05
DA  - 2018/05
TI  - Analysis and Designing of Educational Big Data Mining System for Higher Education
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 189
EP  - 192
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.39
DO  - 10.2991/sser-18.2018.39
ID  - Dong2018/05
ER  -