Construction of Teaching Performance Evaluation System for College Teachers Based on Data Mining

DOI

10.2991/978-94-6463-040-4_34How to use a DOI?

Keywords

data mining; CART decision tree; performance management; college teacher

Abstract

Data mining has become an important means to improve the level of educational management under the background of big data. In this paper, the CART decision tree algorithm of data mining is applied to the performance management of college teachers. On the basis of statistical data, the factors affecting teaching quality such as teaching attitude, teaching methods and teaching preparation are taken as decision attributes to construct a decision tree. The specific construction process of CART decision tree algorithm in teaching performance evaluation of university teachers is illustrated by examples, and the classification model of teaching performance based on CART tree is generated. It is found that teachers who are fully prepared for teaching often show good teaching attitudes and better teaching performance. For the staff with good teaching quality but low teaching preparation score, if they have good teaching means or good teaching attitude, their teaching performance will be higher; If the teaching method is not skilled or the attitude is not good, the performance is average. It can be seen that teaching performance and teaching quality, teaching preparation, teaching means and teaching attitude are mutually restricting and influencing each other. Finally, targeted and reasonable performance evaluation suggestions are put forward.

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  - Hanqiao Sun
PY  - 2022
DA  - 2022/12/27
TI  - Construction of Teaching Performance Evaluation System for College Teachers Based on Data Mining
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 227
EP  - 232
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_34
DO  - 10.2991/978-94-6463-040-4_34
ID  - Sun2022
ER  -