Designing an Artificial Intelligence Literacy (AIL) Model for Sports Science Professors
Paper ID : 1280-SPORTCONGRESS
Authors
Abed Mahmoudian *, Sajad Moemeni
Assistant Professor, Department of Sport Management, Faculty of Sport Sciences, Bu-Ali Sina University, Hamedan, Iran
Abstract
Introduction: To benefit from the potential of AI in education, having AIL is crucial (Haase, 2025). AI literacy is a set of knowledge, skills, and attitudes that enable an individual to interact consciously with AI technologies (Zhao et al., 2022). AIL has various dimensions, including a basic technical understanding of how machine learning algorithms and models work, data literacy for analyzing and interpreting data, and awareness of the social, ethical, and cultural dimensions associated with the use of AI (Ayanwale et al., 2024). A review of studies shows that the concept of AI literacy has attracted the attention of foreign researchers and this concept has been investigated from various angles. Therefore, the purpose of the research was to design an AIL model for sports science teachers.
Methods: Using a systematic literature review approach, all published studies on AIL were analyzed. Data were collected from Google Scholar by searching for the keywords "Artificial Intelligence literacy" in the abstract, title, and keywords fields. The search was limited to the publication period from 2015 to 2025.
Findings: The findings indicate that the AIL model of sports science professors includes eight components: knowledge and understanding, use and application, evaluation and integration, ethics, attitude, skill, analysis, and creation of AI.
Conclusion: This study emphasizes the need to explicitly integrate AI-specific competencies into educational practices and recommends clear institutional policies and further empirical research to increase professors' AIL, supporting the responsible, effective, and reflective use of AI technologies in educational settings.
Keywords
Education, university, literacy, artificial intelligence.
Status: Abstract Accepted (Poster Presentation)