Xiaoge Wang, Weihong Zhao, and  Yuanyuan Xu. The satisfaction of College English classroom teaching quality based on Fuzzy Data Mining. Dynamic Systems and Applications 29 (2020) No. 4, 1280 – 1291

https://doi.org/10.46719/dsa202029420

ABSTRACT.
With the rapid development of the Internet age, college students’ classroom teaching evaluation can be directly evaluated on the Internet platform, resulting in a large number of data about the satisfaction of College English classroom teaching quality. If college classroom wants to improve the classroom efficiency and the teaching quality of school teachers, it can extract effective information from these data. Based on the method of fuzzy data mining, through the analysis of the collected text data of satisfaction degree of College English classroom teaching quality, this paper constructs a report of satisfaction degree analysis of College English classroom teaching quality, and makes fuzzy analysis of satisfaction degree of College English classroom teaching quality in the way of fuzzy evaluation, so that the result of satisfaction degree analysis of College English classroom teaching quality is more accurate In addition, the Apriori algorithm in data mining is applied to the satisfaction evaluation of College English classroom teaching quality. According to the final results, the system of satisfaction analysis and evaluation of College English classroom teaching quality is constructed.

Keywords: data mining; teaching quality; fuzzy analysis; Apriori algorithm