Artificial intelligence Applications and Their Relationship with Academic Achievement from the perspective of Physical Education and Sports Sciences Faculty Members

Authors

Keywords:

Artificial Intelligence (AI), Academic Achievement

Abstract

The present study aimed to identify the level of use of artificial intelligence (AI) applications and their relationship with academic achievement from the perspective of faculty members in Physical Education and Sports Sciences. It also examined differences in academic achievement among universities and determined the contribution of AI applications to explaining the variance in academic achievement.

The researchers adopted a descriptive approach using both survey and correlational methods. The research population consisted of 136 faculty members from the Colleges of Basic Education at Al-Mustansiriya University, the University of Diyala, and the University of Mosul. The main sample included 57 faculty members (41.9% of the population), in addition to a pilot sample of 9 faculty members.

The findings revealed a weak but statistically significant negative correlation between the use of AI applications and academic achievement (r = -0.184, p < 0.05). The results also showed statistically significant differences in academic achievement among the universities. AI applications explained 2.7% of the variance in academic achievement.

The researchers recommend regulating the use of AI applications in the educational process, providing training programs to enhance faculty members’ competencies in employing these applications, and conducting experimental studies to investigate the effects of specific AI applications on improving academic achievement.

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Published

2026-08-29

How to Cite

[1]
B. Taha Ali and A. Karim Rahman, “Artificial intelligence Applications and Their Relationship with Academic Achievement from the perspective of Physical Education and Sports Sciences Faculty Members”, jfath, vol. 1, no. 1, pp. 55–72, Aug. 2026.