Research on the Evaluation of Physical Education Classroom Teaching Effectiveness Based on Big Data and Artificial Intelligence Technologies

With the rapid development of information technology, especially the rise of big data and artificial intelligence, they have become the key forces to innovate and promote the modern education system. This paper focuses on the design and implementation of a physical education teaching effect evaluation model that integrates big data analysis and artificial intelligence algorithm. The model integrates multi-source teaching data such as students' sports data, heart rate variability, participation, emotional feedback, etc. With the help of artificial intelligence algorithm, it can comprehensively evaluate the teaching effect of physical education classroom. It accurately locates teaching advantages and improvement direction, and provides targeted optimization suggestions for teachers, which not only opens up new ideas and methods for the evaluation of physical education teaching effect, but also lays a solid theoretical and practical foundation for the application of advanced technology in the field of education.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1145/3746709.3746912
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Research on the Evaluation of Physical Education Classroom Teaching Effectiveness Based on Big Data and Artificial Intelligence Technologies

Xiong Yu, Xijia Su
E-commerce and Technology Innovations
article

Research on the Evaluation of Physical Education Classroom Teaching Effectiveness Based on Big Data and Artificial Intelligence Technologies

Xiong Yu, Xijia Su
article en

Abstract

With the rapid development of information technology, especially the rise of big data and artificial intelligence, they have become the key forces to innovate and promote the modern education system. This paper focuses on the design and implementation of a physical education teaching effect evaluation model that integrates big data analysis and artificial intelligence algorithm. The model integrates multi-source teaching data such as students' sports data, heart rate variability, participation, emotional feedback, etc. With the help of artificial intelligence algorithm, it can comprehensively evaluate the teaching effect of physical education classroom. It accurately locates teaching advantages and improvement direction, and provides targeted optimization suggestions for teachers, which not only opens up new ideas and methods for the evaluation of physical education teaching effect, but also lays a solid theoretical and practical foundation for the application of advanced technology in the field of education.

Wuhan Donghu University (CN)
Quality Education
Openalex Percentile: Top 57%
E-commerce and Technology Innovations
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