A Study on Academic Early-Warning System Based on Machine Learning

DOI

10.2991/mess-18.2018.47How to use a DOI?

Keywords

academic early-warning system, machine learning, informatization

Abstract

With the expansion of college enrollment, college students' academic problem increasingly prominent. Universities have established effective preventive mechanisms to solve the problems. The most representative measure is academic early-warning system. Take Xiamen University of Technology as an example, this paper tries to put forward the idea of improving the existing academic warning system, and builds up the mathematical model based on machine learning, focusing on the algorithm of the model and validating the model. Finally, discusses the current situation and challenge of colleges and universities. In this paper, the daily teaching management and information system are combined, and the effectiveness and feasibility of computer are used to provide valuable reference for education reform in universities.

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  - Zi-Jun BAI
AU  - Gang-Quan CAI
PY  - 2018/04
DA  - 2018/04
TI  - A Study on Academic Early-Warning System Based on Machine Learning
BT  - Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
PB  - Atlantis Press
SP  - 257
EP  - 262
SN  - 2352-5398
UR  - https://doi.org/10.2991/mess-18.2018.47
DO  - 10.2991/mess-18.2018.47
ID  - BAI2018/04
ER  -