A Study on Academic Early-Warning System Based on Machine Learning
Zi-Jun BAI, Gang-Quan CAI
Available Online April 2018.
- https://doi.org/10.2991/mess-18.2018.47How to use a DOI?
- academic early-warning system, machine learning, informatization
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/mess-18.2018.47 ID - BAI2018/04 ER -