Multilevel Fuzzy Evaluation Based Application Research on Intelligent Teaching System in College Class

Abstract

Since single evaluation method is inefficient, establishing a teaching quality evaluation algorithm with real-time optimization and intelligent learning becomes a major trend for current automatic evaluation. Based on the study of evaluation index system of classroom teaching quality in colleges, this paper proposes an intelligent evaluation model for the quality of classroom teaching in colleges and applies it to evaluation practice of intelligent teaching system. It avoids the problem of difficult determination on weights a and simplifies the evaluation process. The improved multilevel fuzzy comprehensive evaluation method is adopted to perform evaluation on the quality of classroom teaching. The case analysis shows that the model is an effective method to evaluate the quality of classroom teaching in colleges, and it realizes the high efficiency, network and intelligence of the teaching quality evaluation.