Innovation Humanities and Social Sciences Research (IHSSR)

Publisher:ISCCAC

Research on the Construction of the Integrated Practice System of “Three Learning” Education for Physical Education Normal Students Empowered by Artificial Intelligence
Volume 21, Issue 12 (Part 1), 2025
Authors

Liqing Zhang, Qiaohui Wang

Corresponding Author

Liqing Zhang

Publishing Date

December 31, 2025

Keywords

Artificial intelligence, Physical education students, Educational probation, Educational research, Educational practice, Integrated practice system.

Abstract

Under the background of the comprehensive promotion of teacher education professional certification and education digitization strategy, the practice system of "education probation-education study-education practice" of physical education normal students has exposed structural deficiencies in content cohesion, guidance quality, evaluation accuracy and technology integration, and it is urgent to realize systematic reconstruction through artificial intelligence. By using the methods of literature analysis, demand investigation, system construction and typical practice verification, this paper constructs an AI-enabled "three learning" education integration practice system of "policy-technology-practice" trinity. The results show that AI has achieved remarkable results in the internship environment of virtual and real integration, intelligent analysis of teaching behavior, dual tutor collaborative platform, personalized ability portrait and evidence-based learning support, which can effectively improve the core abilities of physical education students, such as teaching design, classroom management, reflection improvement and intelligent literacy. Based on the research findings, three countermeasures are proposed: The first is to build a through-type “three learning”system with the intelligent platform as the core, and strengthen the ability advancement and the whole process data support; the second is to improve the coordination mechanism between universities, governments and primary and secondary schools, and systematically improve the AI competency of tutors; the third is to establish a unified data standard, an intelligent evaluation system and a continuous improvement closed loop to promote the high-level and intelligent development of the training quality of physical education teachers.

Copyright

© 2025, the Authors. Published by ISCCAC

Open Access

This is an open access article distributed under the CC BY-NC license