Research on Classroom Teaching Quality Evaluation in Colleges and Universities Based on Cloud Model
- DOI
- 10.2991/978-94-6463-172-2_185How to use a DOI?
- Keywords
- entropy weight method; cloud model; classroom teaching quality evaluation
- Abstract
Classroom teaching quality evaluation (CTQE) has always played an important role in college’s teaching systems and teaching quality management. Firstly, the evaluation criteria of college’s CTQE is given by analyzing the university classroom teaching from teaching ideology and politics, teaching content and organization, and teaching methods and means; Then the weight of each evaluation criterion is obtained through the entropy weight method. Finally, after using the cloud model to convert the qualitative description into quantitative expression, the comprehensive evaluation method based on the normal cloud model is given, which can better solve the ambiguity and randomness of the teaching evaluation. An example calculated by MATLAB software is presented to illustrate the validity and feasibility of the evaluation method.
- 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.
Cite this article
TY - CONF AU - Ping Xiong AU - Hua-bin Cheng AU - Bin Shen PY - 2023 DA - 2023/06/30 TI - Research on Classroom Teaching Quality Evaluation in Colleges and Universities Based on Cloud Model BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1676 EP - 1683 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_185 DO - 10.2991/978-94-6463-172-2_185 ID - Xiong2023 ER -