Research Article
Design of Diversified Evaluation System of College Teaching Quality Based on Deep Data Mining
@INPROCEEDINGS{10.1007/978-3-031-18123-8_7, author={Dong Yang and Jun Yang}, title={Design of Diversified Evaluation System of College Teaching Quality Based on Deep Data Mining}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Data mining Deep mining College teaching Teaching quality Evaluation system}, doi={10.1007/978-3-031-18123-8_7} }- Dong Yang
Jun Yang
Year: 2022
Design of Diversified Evaluation System of College Teaching Quality Based on Deep Data Mining
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_7
Abstract
At present, the mainstream teaching evaluation is dominated by students, supplemented by experts in or out of school. Under this evaluation method, only simple quantitative evaluation results can be obtained, and the evaluation data can not be analyzed. Therefore, it is proposed to design the diversified evaluation system of college teaching quality based on deep data mining. In the hardware design of the diversified evaluation system of college teaching quality, the ARM microprocessor based on diversified evaluation is designed, and the data manager based on data mining is designed. In the software design of the diversified evaluation system of college teaching quality, the diversified evaluation model of teaching quality is established, Design evaluation model database. The test shows that the evaluation accuracy coefficient of the system is more than 95, which is much higher than the traditional two systems.
