Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)

Application of Big Data in Higher Education for Learning Analytics

Authors
Zhijun Pei, Lei Han, Jin-qing Gu
Corresponding Author
Zhijun Pei
Available Online July 2017.
DOI
10.2991/cetcu-17.2017.25How to use a DOI?
Keywords
big data; higher education; learning analytics; teaching; learning process
Abstract

Institutions of higher education are facing contemporary challenges. And big data can be used for the higher education practice. Apart from the introduction of the relevance of big data to higher education, analytical approaches such as learning analytics is provided for the analysis and exploitation of big data in higher education. It is helpful for big data to provide insights to support student learning needs. And the potential of learning analytics for quality improvement in learning process is also discussed in detail.

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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Volume Title
Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
978-94-6252-374-6
ISSN
2352-5398
DOI
10.2991/cetcu-17.2017.25How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Zhijun Pei
AU  - Lei Han
AU  - Jin-qing Gu
PY  - 2017/07
DA  - 2017/07
TI  - Application of Big Data in Higher Education for Learning Analytics
BT  - Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)
PB  - Atlantis Press
SP  - 100
EP  - 104
SN  - 2352-5398
UR  - https://doi.org/10.2991/cetcu-17.2017.25
DO  - 10.2991/cetcu-17.2017.25
ID  - Pei2017/07
ER  -