Construction of Education Evaluation System Based on MFA under Big Data Technology

DOI

10.2991/978-94-6463-040-4_245How to use a DOI?

Keywords

big data; MFA multi-factor analysis; college education evaluation; BP neural network; evaluation factors

Abstract

Aiming at the problem of imperfect management evaluation system in current college education, which lacks of scientific and systematic, big data technology is uitilized to design a college education management evaluation system based on the combination of MFA and BP neural network. The college education evaluation model and MFA analysis method based on BP neural network are used to select educational evaluation indicators from students' basic information, and then the evaluation factors are determined by this model, and corresponding coping strategies are given. The results show that after conducting a questionnaire with 100 teachers, 75% of them are very satisfied, 20% of them are relatively satisfied, and only 5% of them are not satisfied. Comprehensive analysis shows that most teachers have high satisfaction with the system, indicating that the college education evaluation system designed in this paper can effectively realize the evaluation of college education, improve the scientific and systematic obviously, and further improve the management system.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bo Dong
PY  - 2022
DA  - 2022/12/27
TI  - Construction of Education Evaluation System Based on MFA under Big Data Technology
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1622
EP  - 1626
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_245
DO  - 10.2991/978-94-6463-040-4_245
ID  - Dong2022
ER  -