Analysis of Emotional Education Infiltration in College Physical Education Based on Emotional Feature Clustering

Zhengfa Wang,Junheng Wang,Xin Ning

doi:10.1155/2022/7857522

Abstract

Integration of emotional education physical education research in colleges and universities is a topic that has both theoretical and practical implications. Teachers in physical education should pay attention not only to the development of students’ physical knowledge and skills but also to their emotional education, emphasizing the positive role of emotional factors. Emotion is a type of internal experience that people have when deciding whether or not objective things can meet their needs. The diversity of emotional needs, the contradiction of emotional experience, the singleness of emotional orientation, and the universality of negative emotions are all new characteristics of contemporary college students’ emotional development. A teaching feedback strategy generation algorithm based on the emotional learning ontology is designed to obtain the students’ perception and understanding of the learning process without the need for question-and-answer interaction with the students. Based on “emotional triggers,” a better understanding of students’ learning status can be provided, as well as better cognitive and emotional support. The main measure and means to improve teaching quality and efficiency in physical education is to combine cognition, emotion, and education. This paper discusses the connotation and scope of emotional education in colleges and universities and proposes ideas for strengthening emotional education in colleges and universities in light of the new characteristics of college students’ emotional development, based on the clustering of emotional features, in terms of emphasizing the emotional influence of teachers, bolstering students’ aesthetic education, and exploring new avenues for college students’ emotional education.

Highlights

“In today’s world, science and technology are advancing by leaps and bounds, the knowledge economy is beginning to take shape, and the competition in national strength is becoming increasingly fierce.” An open world needs an open country [1]
An emotion dictionary containing emotional information is constructed, and the text is represented as an emotion vector according to the dictionary; a convolutional neural network is used to extract the text emotional features; an attention mechanism is added after the convolution operation to emphasize the contribution of different words to the text representation
In order to enable the intelligent teaching system to better support learners, especially to solve the problems of emotional understanding and emotional feedback, this paper constructs an emotional learning ontology, which is used to describe the concepts related to emotions and the relationship between concepts in the learning process

Summary

Introduction

“In today’s world, science and technology are advancing by leaps and bounds, the knowledge economy is beginning to take shape, and the competition in national strength is becoming increasingly fierce.” An open world needs an open country [1]. There is a tendency in our school education to despise emotion and ignore the emotional life of students and only focus on the shaping of students’ external characteristics, such as the mastery of knowledge, the proficiency of technology, and the innocence of behavior. They pay no attention to their inner hopes, joys, or sorrows, resulting in a weakened ability to understand and control the inner world while improving their ability to recognize and control the outer world [7]. Emotional Education Penetration Method in College Physical Education Based on Emotional Feature Clustering

Generating Method of Base Sentiment Classifier

Metaemotion Classifier Training Based on Superposition Strategy

Comparative Analysis of Fusion Strategies of Base Sentiment Classifiers

Heart Rate Variability Analysis Based on Wavelet Transform and Independent

Conclusions