| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 03059 | |
| Number of page(s) | 7 | |
| Section | Computing Methods and Computer Application | |
| DOI | https://doi.org/10.1051/matecconf/202235503059 | |
| Published online | 12 January 2022 | |
Evaluation of teaching quality based on binary tree support vector machine
1 School of information science and technology, Hainan Normal University, Hainan Haikou
2 School of Chemistry and Chemical Engineering, Hainan Normal University, Hainan Haikou
* Corresponding author: 793957623@qq.com
In order to solve the reliability of the evaluation results of teaching quality in universities and colleges, an improved model of teaching evaluation based on the Support vector machine was put forward. In this model, the evaluator does not need to give an evaluation result of the teacher’s teaching quality, but gives the score of each evaluation index, and then calls the Support vector machine, automatic classification of teachers’ teaching quality. The experiment proves that the improved algorithm can improve the teaching quality evaluation accuracy and the result is better.
Key words: Fuzzy / Binary tree / Support vector machine / Teaching quality
© The Authors, published by EDP Sciences, 2022
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