A Comparative Study of Traditional Teaching and Personalized Teaching Using Artificial Intelligence Algorithms in Teaching Racquetball Skills

الملخص

This study aimed to compare the effectiveness of traditional teaching methods and customized teaching using artificial intelligence algorithms in improving skill performance (technical level and accuracy) and motivation towards learning racquet skills. The researcher used the quasi-experimental approach by designing the two groups (control and experimental) with a pre- and post-selection selection. The study sample consisted of (40) junior students They were randomly divided into two groups: the experimental group (n=20) received personalized instruction using artificial intelligence, and the control group (n=20) received traditional instruction. A battery of skill tests and a questionnaire were applied to measure motivation.The results showed that there were statistically significant differences (α ≤ 0.05) in favor of the experimental group in all skill performance variables, where the average percentage of improvement in the technical level was 36.4% and the accuracy was 33.4%. The experimental group also recorded higher levels of motivation and better scores in the honesty and stability of the measurement tool. The study concluded that the AI-based teaching model is superior in improving skill performance and motivation, recommending the integration of these technologies in physical education curricula and training teachers to use them, and adopting A hybrid model that combines the advantages of the two methods.