| CHALLENGES OF ARTIFICIAL INTELLIGENCE IN UNIVERSITY SPORTS (BASE ON TOEH) |
| Paper ID : 1382-SPORTCONGRESS |
| Authors |
|
sajad moemeni *, Abed Mahmoudian Assistant Professor, Department of Sport Management, Faculty of Sport Sciences, Bu-Ali Sina University, Hamedan, Iran |
| Abstract |
| Introduction: Artificial intelligence (AI) has become essential in many fields, including sports (Sadr, Saheb & Farahani, 2023; Sayam & Alawi,2025). University sports can pioneer AI use. However, studies show AI hasn't reached its full potential in university sports. Therefore, this research examines AI implementation challenges in collegiate sports using the technology-organization-environment-human (TOEH) framework. Methods: research synthesis approach centered on the systematic review method was employed. Data were collected from Web of Science and Scopus databases by searching for publications from 2021 to 2025 containing: “Artificial Intelligence and University Sport” and “Artificial Intelligence and College Sport” in their abstract, title, or keywords. The final sample, refined according to the PRISMA method, consisted of 28 articles. Findings: the research showed: 12 challenges in four areas: technological (complexity of use and usability, data and information weaknesses, lack of adequate technology infrastructure, including hardware and related data platforms, complexity in deploying and integrating AI systems, concerns about privacy and data protection), organizational (high implementation costs, lack of financial support and effective support policies, and lack of strategic planning for the adoption of AI in sports organizations), environmental (limited attention to collegiate sports as a platform for innovation and legal and regulatory restrictions), and human (insufficient digital literacy among human resources and a shortage of qualified personnel in the fields of data mining, machine learning, and AI technologies) were identified as the main obstacles to the expansion and effective use of AI in collegiate sports. Conclusion: Based on the findings, it can be stated that the adoption of AI in college sports faces several challenges across all four domains of TOEH. Nonetheless, university sports offer a valuable opportunity for AI implementation due to students' familiarity and interest in emerging technologies. Addressing these challenges can position university sports as a leading example of AI-driven progress. |
| Keywords |
| Artificial Intelligence, Sports University, TOEH |
| Status: Abstract Accepted (Oral Presentation) |
