Leveraging AIoT Technology in Badminton Instruction: Effects on Badminton Skills Learning and Sports Motivation in Junior High School Students

This quasi-experimental study investigated the effects of AI-integrated badminton instruction on junior high school students' badminton skills and sport motivation. Fifty-six first-year junior high school students from southern Taiwan were randomly assigned to a control group receiving traditional instruction or an experimental group receiving AI-enhanced blended learning. Both groups practiced badminton skills over a seven-week period. Pre- and post-tests assessed shot placement accuracy and sport motivation. ANCOVA analyses revealed that the experimental group achieved significantly higher posttest scores in badminton skill (shot placement accuracy) and intrinsic motivation, while the control group exhibited higher external regulation. These results suggest that AI integration in physical education fosters improved technical skills and more autonomous sport motivation. The findings support the potential of technology-driven feedback and blended learning to enhance sports education, warranting further research into their long-term effects and broader applicability.