Identifying and Diagnosing the Gap in Applying Artificial Intelligence Techniques Scale in Managing High-Performance Sports Organizations

Volume 13, Issue 2 (2023)

Identifying and Diagnosing the Gap in Applying Artificial Intelligence Techniques Scale in Managing High-Performance Sports Organizations
Aseel H. Obaid, Naeema Zeidan Khalaf

This study seeks to evaluate the technician in the Department of Sports and School Activity in the General
Directorate of Education of Baghdad / Al-Rusafa II, according to the requirements of the standard of artifi cial intelligence
techniques in order to diagnose and identify the gap between the technical performance of this section with the requirements
of the standard, identify the causes of the gap and propose eff ective solutions for it. The checklist was used to collect
data and information according to the scale of artifi cial intelligence technologies with fi ve axes (expert systems, virtual
reality, smart agents, information technologies, and process automation). The Department of Sports and School Activity in
the General Directorate of Education of Baghdad / Al-Rusafa II (case study) have a clear perception of the importance of
the measure of artifi cial intelligence techniques, but the absence of fi nancial and technical capabilities prevents the adoption
of this measure in the management of the department, in addition to the lack of management of the department of an
administrative unit to follow up the functional work And technology and studying the causes of deviation and the procedures
to be followed for the purpose of controlling all factors aff ecting artifi cial intelligence techniques, and by examining
the results of this study obtained from the checklists, it can be indicated that there are weaknesses in all the requirements
that must be available in the sports and school activity section and according to the requirements of the intelligence techniques
scale With regard to the axis of expert systems and the axis of smart agents, the percentage of matching dolls was
(0%) and the gap for non-conformity amounted to (1). As for the axis of virtual impact, it is not less important than them,
as the amount of the gap amounted to (0.9), but the amount of the gap for the axes of information technology and process
automation is (0.3), which indicates that the Department of Sports and School Activity applies in its work to most of the
paragraphs of these two axes to the requirements of the scale of artifi cial intelligence technologies.

Artifi cial Intelligence techniques, High-Performance Sports Organizations, Checklists, Gap-Size
Full Text: 

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