The Reality of Using Artificial Intelligence Applications at the Faculty of Physical Education and Sports Sciences – Al-Marj, University of Benghazi: Faculty Members' Perspectives

Abstract

The aim of this research was to identify the reality of using artificial intelligence applications at the Faculty of Physical Education and Sports Sciences – Al-Marj, University of Benghazi, from the perspective of faculty members, by measuring their level of knowledge of basic concepts and techniques, revealing their perceptions regarding the employment of these applications in education and sports training, performance analysis, prediction of injury risks, and motor rehabilitation programs, and identifying the most prominent obstacles and requirements necessary for developing their use within the faculty. The researcher used the descriptive survey method. The research population consisted of all faculty members at the Faculty of Physical Education and Sports Sciences – Al-Marj, University of Benghazi, numbering (39) faculty members distributed across the departments of: Sports Training and Movement Sciences, Curricula and Teaching Methods, Injuries and Motor Rehabilitation, Sports Recreation, and Sports Administration. The sample size was (30) members selected purposively from the research population, with a representation rate of (76.9%). The researcher relied on a questionnaire consisting of (40) items distributed across five axes according to a five-point Likert scale. The results showed that the level of general knowledge of artificial intelligence among the sample members was moderate, while the level of knowledge of specialized practical applications decreased, particularly in injury prediction, smart systems, and sports databases. The results also showed moderate positive attitudes toward the employment of artificial intelligence in motor rehabilitation programs, while the obstacles came at a high degree, foremost among them being weak technical infrastructure, a shortage of specialized personnel, and the high cost of technologies. The researcher recommended incorporating artificial intelligence topics into the faculty's programs and courses, organizing training courses for faculty members, and establishing an educational and research sports database that serves the fields of training, sports medicine, and motor rehabilitation.