Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning

Abstract

Contemporary classroom teaching requires the combination of students’ classroom behavior and their psychological activities and appropriately changes the teaching mode according to students’ psychological characteristics. This paper analyzes the traditional characteristic recognition algorithm, and after improving its deficiencies, an improved characteristic extraction algorithm is proposed, based on the actual situation of classroom learning. This new algorithm can effectively improve the students’ psychological feature prediction; with the support of this algorithm, a comprehensive analysis model with classroom behavior recognition and psychological feature recognition is constructed; also, the functional structure of the system is built up. Through experimental research, the model proposed in this paper is analyzed, and the experimental data has approved that the systemic model could play an important role in classroom teaching.

RETRACTED: Analysis of psychological characteristics and emotional expression based on deep learning in higher vocational music education

“…Nowadays, although some scholars have used neural networks to extract text features and achieved good results, how to improve sentiment analysis for user reviews by mining deeper features of text and semantic association features has been a hot issue in research. Meanwhile, although many scholars have built sentiment analysis models based on deep learning methods and got good results for different scenarios, document-level sentiment analysis tasks for product reviews need to consider user data and product data on the basis of general sentiment analysis models in order to improve the analysis results (Li, 2021). This chapter introduces the research background of psychological feature analysis and sentiment expression in higher education music education and the practical significance of text sentiment analysis in recent years, and provides a detailed overview of the current status of research on psychological feature analysis and sentiment expression in higher education music education and the current status of text classification research, and outlines the main contents and organization of this thesis.…”

Features of Group Online Learning Behaviours Based on Data Mining

“…In this context, how to scientifically and properly organize and guide learners to learn actively and efficiently has become a research subject for domestic and foreign scholars [7][8][9][10][11][12]. To achieve this goal, it is particularly important to analyze and study the features and patterns of learners' learning behaviours [13][14][15][16][17][18]. The analysis of learning behaviour features includes two parts -group feature analysis and individual feature analysis.…”