Abstract
Objectives The purpose of this study is to develop an artificial intelligence teaching and learning model for physical education that can be applied to actual physical education classes using teachable machines and to provide basic data that can be used in the field. Methods The rapid prototyping methodology was applied to carry out the process of analysis, design, development, implementation, and evaluation. Four physical education teachers, one coding expert, and four students were selected as research participants, and data were collected and analyzed through in-depth interviews. Results The prototype for developing the physical education and artificial intelligence teaching and learning model was developed through a four-round continuous feedback process, including developing a motion recognition program, adding voice functions, adding visual functions, and configuring a website considering ease of use. A teaching and learning model based on the areas of health, challenge, and competition was developed and presented. Conclusions The physical education and artificial intelligence teaching and learning model using teachable machines was developed and modified as a prototype through the rapid prototyping methodology, and was ultimately developed into 9 teaching and learning models in the areas of health, challenge, and competition.
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