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Constructing a scale for managing high-performance sports organizations using artificial intelligence techniques

Aseel Hameed Obaid ; Naima Zaidan Khalaf

al-Riyādat al-muʻāsirat (Online), 2023-06, Vol.22 (2) [Periódico revisado por pares]

physical education and sport sciences college for women/ Baghdad University

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  • Título:
    Constructing a scale for managing high-performance sports organizations using artificial intelligence techniques
  • Autor: Aseel Hameed Obaid ; Naima Zaidan Khalaf
  • Assuntos: artificial intelligence techniques ; High-performance sports organizations
  • É parte de: al-Riyādat al-muʻāsirat (Online), 2023-06, Vol.22 (2)
  • Descrição: The current study addressed one of the most significant issues that faced by high-performance sports organizations, which is not fully benefiting from the applications of artificial intelligence techniques. The main problem of the research was to understand the effect of applying artificial intelligence technologies in the management of high-performance sports organizations and the extent of the contribution of applications of artificial intelligence techniques in diagnosing and addressing administrative and technical obstacles in the departments of sports activity and schooling in the General Directorates of Education in the province of Baghdad, with the aim of achieving high performance. In this context, the main objective of the study was to construct a conceptual framework for the implementation of artificial intelligence techniques in high-performance sports organizations, specifically in the sports and school activity departments of the General Directorates of Education in Baghdad province, as a model. In order to achieve the objectives of the study, the researchers followed a descriptive approach with an analytical method that suited the nature of the problem. They also conducted an informal exploratory study in the sports and school activity departments, utilizing a questionnaire as the tool for data collection. The study concluded by developing a reliable scale for the application of artificial intelligence technologies in high-performance sports organizations, consisting of five fields: Expert systems, virtual reality, intelligent agents, information technologies, and process automation. The sample size was chosen to be equal to the population to suit the nature of the research. The validity and reliability of this scale have been confirmed through statistical means, such as Cronbach's alpha coefficient, which amounted to 89.7. The five fields of the scale contained twenty-five items. The relative importance of these items ranged between (63-84%). The highest value of relative importance was 84% for the second item from the expert systems field, which states, (expert systems function as a consulting expert for the upper management in the sports and school activity departments to contribute to making correct decisions), whereas the lowest value for relative importance was for the first item from the virtual reality field, which states, (the use of virtual reality in the sports and school activity departments contributes to the acquisition of diverse skills for the employees and works on developing administrative and technical performance)
  • Editor: physical education and sport sciences college for women/ Baghdad University
  • Idioma: Árabe
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