Purpose this study aims to analyze the effect of artificial intelligence 

(AI)-based feedback on improving discrete movement performance in 

the Ushiro Mawashi Geri kick among junior karate athletes. The 

research hypothesis assumes that the implementation of AI-based 

feedback can significantly enhance the accuracy and quality of 

movement execution compared to conventional feedback methods. 

Methods: This study employed a quasi-experimental research design 

with a pretest-posttest control group approach. The participants 

consisted of junior karate athletes selected through purposive 

sampling. Data were collected through motion performance 

assessments of Ushiro Mawashi Geri before and after the intervention. 

The collected data were analyzed using descriptive and inferential 

statistical tests to determine differences in movement improvement 

between groups. ResultsThe results indicate that AI-based feedback 

provides a positive effect on improving discrete movement skills, 

particularly in movement accuracy, coordination, and execution 

consistency of the Ushiro Mawashi Geri technique. Implications: These 

findings suggest that AI technology can be integrated into karate 

training programs as an innovative evaluation and learning tool to 

support athlete performance development. Future research is 

recommended to involve larger samples, longer intervention periods, 

and more advanced motion analysis techniques.