Ali Saleh Abd Ali and Atheer Hamza Jijan
Technology has increasingly occupied a wide space across various fields of life, with the sports domain being among the most prominent, particularly in the area of athletic training. In light of the rapid advancement of modern technologies, it has become essential for sports coaches to integrate such advanced tools to enhance their coaching skills, thereby positively influencing athletic performance and achievement. The present study aims to design a training program based on artificial intelligence (AI) techniques and to examine its effect on developing the coaching competencies of gymnastics trainers at Al-Kut Sports Center. The researcher hypothesized the presence of statistically significant differences between the pre-test and post-test results of the study sample in favor of the post-test. The experimental method was employed using a one-group design (pre-test-post-test), as it was deemed appropriate to the nature of the research problem. The primary sample consisted of six gymnastics coaches representing six clubs in Al-Kut, in addition to two exploratory coaches selected from the youth category. Homogeneity was ensured across the sample in terms of experience and intelligence variables to minimize the influence of extraneous factors. Consultations were conducted with a group of experts and specialists in gymnastics to determine the appropriate tests for measuring coaching competencies. A pilot study was then carried out to identify potential obstacles prior to implementing the main experiment. The pre-test was administered, followed by the application of the training program over eight weeks, comprising 24 training sessions distributed across Sundays, Tuesdays, and Thursdays, with each session lasting 45 minutes. After completing the program, the post-test was conducted under conditions identical to those of the pre-test. Data were analyzed using the Statistical Package for the Social Sciences (SPSS). The results indicated significant differences in favor of the post-test, confirming the effectiveness of the AI-based training program in enhancing the coaching competencies of gymnastics trainers. The researcher concluded that the program contributed to broadening the coaches’ perspectives on the applications of artificial intelligence in sports training, while also equipping them with up-to-date knowledge and tools related to planning, analysis, and performance evaluation. The study recommends activating the use of artificial intelligence within training programs for individual-sport coaches, as well as designing similar electronic programs for other sports.
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