Big Data Analysis in General Education: Opportunities and Concerns

DOI

10.2991/iserss-18.2018.14How to use a DOI?

Keywords

Big Data, Education Data Mining, Predictive Analysis, General Education

Abstract

General education, as important part of higher education, is putting increasing attention on big data courses in universities. This paper discusses the opportunities and concerns about big data analysis in general education by stating predictive analytics, personalized learning planning and introducing machine learning techniques in these aspects. A basic framework of opportunities, an integrated application process, machine learning applications are introduced and performance prediction as well as course recommendation system are given combining the specialty of general education. Concerns are suggested from open online platform, universities, governments and institutions that more security is hard needed in cross-disciplinary learning environment as opportunities are multifaceted.

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  - Wenjun Lyu
AU  - Zhaoqing Feng
PY  - 2018/07
DA  - 2018/07
TI  - Big Data Analysis in General Education: Opportunities and Concerns
BT  - Proceedings of the 2018 International Seminar on Education Research and Social Science (ISERSS 2018)
PB  - Atlantis Press
SP  - 48
EP  - 51
SN  - 2352-5398
UR  - https://doi.org/10.2991/iserss-18.2018.14
DO  - 10.2991/iserss-18.2018.14
ID  - Lyu2018/07
ER  -