Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Study on Student Growth Tracking System based on Educational Big Data

Authors
Chongli Zhong, Zhenyu Cao
Corresponding Author
Chongli Zhong
Available Online April 2019.
DOI
10.2991/icmeit-19.2019.33How to use a DOI?
Keywords
Educational Big Data; Student Management; Growth Tracking; Database.
Abstract

With continuous advances of the society, information technology has been developing rapidly. The digitalized era has arrived. Massive amount of data is being produced thanks to the rapid growth of computer science and technology and internet technology. In recent years, educational big data has been receiving more and more attention from university administrators. They seek to offer more scientific and humanized training schemes by analyzing students’ overall performance in school with the help of data, thus provide better employment recommendation to them.

Copyright
© 2019, 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 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
10.2991/icmeit-19.2019.33
ISSN
2352-538X
DOI
10.2991/icmeit-19.2019.33How to use a DOI?
Copyright
© 2019, 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  - Chongli Zhong
AU  - Zhenyu Cao
PY  - 2019/04
DA  - 2019/04
TI  - Study on Student Growth Tracking System based on Educational Big Data
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 192
EP  - 195
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.33
DO  - 10.2991/icmeit-19.2019.33
ID  - Zhong2019/04
ER  -