Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 15, 2023


Pages


DOI

Article

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

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Authors

Mengsi Lv Affiliation:
Shanghai SIPO Polytechnic, Shanghai, 201399, China.


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.


Keywords

Sentiment analysis, GRU model, Indicator accuracy, Third-order confusion matrix, 68T05


Citation

Lv, M. (2023). Research on the quality system of psychology courses in higher education institutions based on the background of deep learning. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00623
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Published by: Engineering Journals

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