Difficulties for athletics coaches in applying artificial intelligence techniques
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Abstract
This study aimed to identify the difficulties facing athletics coaches in applying artificial intelligence techniques, the researcher used the descriptive method in his survey method due to its suitability and the nature of the study, the study sample consisted of (364) athletics coaches from the directorates of education of the Jordanian Ministry of Education, (136) coaches from the central directorates of the Kingdom and (127) Coached from the northern districts of the Kingdom and (101) coaches from the southern districts of the Kingdom, and to address the analytical aspects of the subject of the study, the researcher turned to collecting raw data by building a questionnaire for the difficulties facing athletics coaches in the application of artificial intelligence techniques, which consists of (28) paragraphs distributed over three axes ( the cognitive axis (8) paragraphs, the technical axis: (10) paragraphs, and the organisational and administrative axis (10) paragraphs. The researchers used the following statistical methods (arithmetic mean, standard deviation, Cronbach's alpha coefficient to measure internal consistency, and Pearson correlation coefficient. As for the technological and technical difficulties, "the two institutions do not have the necessary technical infrastructure to use artificial intelligence technologies when training for athletics", while the organizational and administrative difficulties were "there are not enough financial resources for the use of artificial intelligence systems", and the study recommended many recommendations, the most important of which are: equipping the various institutions concerned with athletics with a modern infrastructure for the use of artificial intelligence systems.
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