Research on the quality system of psychology courses in higher education institutions based on the background of deep learning

Abstract

This paper uses a sentiment analysis approach to study students’ emotional experiences in psychology courses. It mainly analyzes the method of sentiment analysis in education and constructs a model of course quality analysis. The GRU model is used to store the input and output of textual information. The analysis focused on the input module, memory module, recurrent attention module and output module in classroom quality analysis. A third-order confusion matrix was established to calculate the accuracy rate and F1 mean value of common evaluation indexes for effective analysis. The results showed that most teachers allocated classroom content mainly to teaching professional knowledge, so the weights of the first-order indicators were 0.25 for teaching literacy, 0.45 for the teaching process, and 0.15 for curriculum resources.