La Trobe

Not All Bodies are Created Equal: Use of Generative AI in Physical Education

conference contribution
posted on 2025-10-19, 23:05 authored by Stuart EvansStuart Evans, Alexia MaddoxAlexia Maddox
Physical Education (PE) is a process that uses physical activity to help people acquire skills, fitness, knowledge, and attitudes that contribute to their optimal development and well-being. Curriculum-based PE provides children with a planned, sequential and standards-based program of curricula and instruction designed to develop motor skills, knowledge and behaviours for active living, physical fitness, self-efficacy and emotional intelligence. Enhancing a child’s motor skill and physical abilities in the absence of generative AI involves the implementation of various conventional methods and strategies. Due to difficulties with children’s attendance and engagement in PE combined with varying levels of teachers’ teaching ability and knowledge of the scientific principles of human movement, the knowledge and skills that children learn in PE can be limited. Children can spend a lot of time and energy on physical exercise, but if professional theory and understanding is lacking, the final exercise effect may not be satisfactory and even may cause harm. The integration of generative AI in physical activity and sports-specific training in education has emerged as a possible approach to enhancing a child’s development in PE, optimizing training strategies and providing personalised insights for both children and the teacher. The strategic use of generative AI can empower both teacher and children through a ‘learner as a leader’ paradigm. There has been limited attention to meaningful pedagogy PE learning in the generative AI community so far, which is likely due to the lack of appropriate technological support available for movement detection at low cost and with low intrusion. Despite this, generative AI-powered tools could significantly enhance meaning and engagement with both PE and physical activity by identifying patterns and correlations within the data, allowing for the personalized creation of training plans and optimized lesson schedules. This article looks at the rapidly evolving technological resource of Generative AI and how it can be used effectively and ethically within a physical educator’s role and the overall teaching profession.<p></p>

History

Publication Date

2025-04-01

Proceedings

New Media Pedagogy: Research Trends, Methodological Challenges, and Successful Implementations

Editors

Łukasz Tomczyk

Publisher

Springer Nature

Place of publication

Cham, Switzerland

Series

Communications in Computer and Information Science

Volume

2537 CCIS

Pagination

15p. (p. 328-342)

ISBN-13

9783031956263

ISSN

1865-0929

Name of conference

Third International Conference, NMP 2024

Location

Kraków, Poland

Starting Date

2025-11-28

Finshing Date

2025-11-29

Rights Statement

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

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