The Effectiveness of AI-Based Learning Media (AI REG) in Improving Rhythmic Gymnastics Activities among Students
DOI:
https://doi.org/10.46328/ijtes.8124Keywords:
AI-based learning, Artificial Intelligence, Rhythmic gymnastics activities, Sports educationAbstract
The development of Artificial Intelligence (AI) technology has influenced various fields of life, including the field of sports education. Currently, AI is beginning to be used to detect movement patterns, analyze performance, and provide real-time feedback to learners. Educators using AI can support learners in mastering the accuracy of complex movements in gymnastics through digital body movement visualization, particularly in sports education. The aim of this study is to develop AI-based learning media that can shape both learners and educators in rhythmic gymnastics activities. The research method used is an experiment with a one-group pretest-posttest design. The data collection technique uses test questions. The data analysis technique uses the paired sample t-test. The research results show that there is a significant difference in the average before and after learning using AI-based learning media. Students have better rhythmic gymnastics skills compared to before the learning. These results prove that AI-based learning media has a significant effect on rhythmic gymnastics skills. This research shows that the media used by educators, when easily implemented on students, will have a positive impact. AI-based learning media can effectively improve rhythmic gymnastics skills in students.
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