Exploring Chinese Secondary Physical Education Teachers' Readiness for AI Integration: An AI-TPACK Perspective

Authors

  • Zixiang Zhao

DOI:

https://doi.org/10.54097/q936bf06

Keywords:

TPACK; physical education; Artificial Intelligence; digital education.

Abstract

The application of Artificial Intelligence in the education field attracted a lot of attention in global research field. However, the physical education teacher, especially middle school PE teachers, are remain unprepared in the field of integrating AI technology in education practices. This article takes physical education teachers in Chinese middle schools as samples, analyzing their readiness and influencing factors based on the AI-TPACK framework. Research results showed that PE teachers perform generally satisfying in CK, PK and PCK dimensions, but relatively weaker in dimensions with technology knowledge, such as TK, TCK, TPK and AI-TPACK. Further analysis indicated that the age and teaching experience cannot be considered as significant influencing factors, while whether receiving training and using AI tools can be considered as significant influencing factors on multiple technology-related dimensions. Trained teachers or teachers who use AI tools tend to score higher. Based on this, this paper puts forward the following suggestions: strengthen the situational AI-TPACK training of physical education teachers, encourage teachers to gradually integrate AI tools in the classroom, optimize the resource allocation and environmental support at the school level, strengthen teachers' cognition of the usefulness of AI tools, and enhance their willingness to adopt.

Downloads

Download data is not yet available.

References

[1] Paek S, Kim N. Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability, 2021, 13(14): 7941.

[2] Marisa S, Gunawan G, Susilawati E. Global Education Development Plan to build sustainable education based on artificial intelligence. Qubahan Academic Journal, 2024, 4(2): 38-46.

[3] Abbasi B N, Wu Y, Luo Z. Exploring the impact of artificial intelligence on curriculum development in global higher education institutions. Education and Information Technologies, 2024.

[4] Yu J H, Chauhan D, Iqbal R A, et al. Mapping academic perspectives on AI in education: trends, challenges, and sentiments in educational research (2018–2024). Educational Technology Research and Development, 2024.

[5] Mayasari N, Launingtia I G A N, Nanang N, et al. Bibliometric analysis of AI technology developments in Education: trends, collaborations, and future impact. West Science Interdisciplinary Studies, 2024, 2(5): 1032-1042.

[6] Saubern R, Henderson M, Heinrich E, et al. TPACK--time to reboot? Australas. J. Educ. Technol., 2020, 36(3): 1-9.

[7] Zhang W, Cai M, Lee H J, et al. AI in Medical Education: Global situation, effects and challenges. Education and Information Technologies, 2023.

[8] Sun F, Tian P, Sun D, et al. Pre‐service teachers' inclination to integrate AI into STEM education: Analysis of influencing factors. Br. J. Educ. Technol., 2024, 55(6): 2574-2596.

[9] Tram N H M. Unveiling the drivers of AI integration among language teachers: integrating UTAUT and AI-TPACK. Comput. Sch., 2024: 1-21.

[10] Daum D N, Ervin-Kassab L. Only when it is raining: Technology in physical education. Phys. Educ., 2023, 80(1).

[11] Saiz-González P, Sierra-Díaz J, Iglesias D, et al. Exploring physical education teachers' willingness and barriers to integrating digital technology in their lessons. Education and Information Technologies, 2024.

[12] Semiz K, Ince M L. Pre-service physical education teachers' technological pedagogical content knowledge, technology integration self-efficacy and instructional technology outcome expectations. Australas. J. Educ. Technol., 2012, 28(7).

[13] Cengiz C. The development of TPACK, Technology Integrated Self-Efficacy and Instructional Technology Outcome Expectations of pre-service physical education teachers. Asia-Pac. J. Teach. Educ., 2014, 43(5): 411-422.

[14] Dogan S, Nalbantoglu U Y, Celik I, et al. Artificial intelligence professional development: a systematic review of TPACK, designs, and effects for teacher learning. Prof. Dev. Educ., 2025: 1-28.

[15] Runge I, Hebibi F, Lazarides R. Acceptance of Pre-Service Teachers towards Artificial Intelligence (AI): The role of AI-Related Teacher Training Courses and AI-TPACK within the Technology Acceptance model. Educ. Sci., 2025, 15(2): 167.

[16] Mnguni L, Nuangchalerm P, Islami R A Z E, et al. The Behavioural Intentions for Integrating Artificial Intelligence in Science Teaching among Pre-Service Science Teachers in South Africa and Thailand. Comput. Educ. Artif. Intell., 2024: 100334.

[17] Oved O, Alt D. Teachers' technological pedagogical content knowledge (TPACK) as a precursor to their perceived adoption of educational AI tools for teaching purposes. Education and Information Technologies, 2025.

[18] Ning Y, Zhang C, Xu B, et al. Teachers' AI-TPACK: Exploring the Relationship between Knowledge Elements. Sustainability, 2024, 16(3): 978.

[19] Ebardo R, Tuazon J B, Fermin M L. Sociotechnical challenges of older educators in delivering medical education online. Int. Conf. Comput. Educ., 2024.

Downloads

Published

21-11-2025

Issue

Section

Articles

How to Cite

Zhao, Z. (2025). Exploring Chinese Secondary Physical Education Teachers’ Readiness for AI Integration: An AI-TPACK Perspective. Journal of Education and Educational Research, 15(2), 177-183. https://doi.org/10.54097/q936bf06