Research on Teaching Quality Evaluation in Colleges and Universities Based on Data Mining

The Case of Chinese Language and Literature Teaching

DOI

10.2991/978-94-6463-192-0_3How to use a DOI?

Keywords

Quality Assessment; Influencing Factors; Data Mining Algorithm; Learning Samples; Chinese language and literature teaching

Abstract

In order to solve the deficiencies in the current teaching quality assessment process in colleges and universities and improve the accuracy of teaching quality assessment in colleges and universities, this paper takes the model of Chinese language and literature teaching as an example, and designs a college teaching quality assessment model based on data mining algorithms. The model firstly researches and analyzes the relevant literature on the current Chinese language and literature teaching quality evaluation, and establishes the influencing factors of the teaching quality evaluation in colleges and universities; then, collects the data of the influencing factors of the Chinese language and literature teaching quality, and establishes the learning sample of the teaching quality evaluation in colleges and universities. This paper introduces the data mining technology BP neural network to train the learning samples, form the Chinese language and literature teaching quality evaluation model, and analyze the superiority of the Chinese language and literature teaching quality model through specific examples. The results show that the data mining algorithm can describe the evaluation results of Chinese literature teaching quality level with high precision.

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  - Min Zhao
AU  - Lanqing Ou
AU  - Junqing Wang
AU  - Qianyu Ma
PY  - 2023
DA  - 2023/07/04
TI  - Research on Teaching Quality Evaluation in Colleges and Universities Based on Data Mining
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 14
EP  - 20
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_3
DO  - 10.2991/978-94-6463-192-0_3
ID  - Zhao2023
ER  -