The Reality of Artificial Intelligence Usage among Postgraduate Students at the College of Physical Education and Sports Sciences
Abstract
The study aimed to investigate the current use of artificial intelligence (AI) among postgraduate students at the College of Physical Education and Sports Sciences, University of Mosul, with a focus on their awareness of these technologies, their practical applications, and the challenges they face in employing them. To achieve the research objectives, the descriptive-analytical method was adopted due to its suitability for the nature of the study.
Population and Sample:
The research population consisted of postgraduate students in both preparatory and research stages (Master’s/PhD) at the College of Physical Education and Sports Sciences, University of Mosul, totalling 81 students, distributed as follows:
1.Master’s preparatory stage: 17 students
2.Master’s research stage: 16 students
3.PhD preparatory stage: 18 students
4..PhD research stage: 30 students
The research sample was selected randomly and included all 81 students, representing 100% of the population and comprising both genders.
Research Instrument:
The researchers used a questionnaire as the primary tool to measure the extent and patterns of AI use among students. A specific questionnaire was designed to assess the reality of AI use among postgraduate students at the College of Physical Education and Sports Sciences. The collected data were processed statistically using SPSS to calculate frequencies, means, standard deviations, and percentages.
Results:
The results indicated an average level of awareness and knowledge of AI methods among the students. They demonstrated good familiarity with AI tools and their application in sports data analysis, indicating their readiness to adopt these technologies in their research.
References
- Abdullah, A. (2024). Obstacles to applying AI systems in colleges of physical education and sports sciences in Iraq. Retrieved from https://jsrse.edu.iq & https://doaj.org/
- -Abu Alia, A. (2025). The use of artificial intelligence technologies in higher education: The necessity of holding training courses to enhance the skills of faculty members and students. Retrieved from https://jsrse.edu.iq
- Abbas, Muhammad Khalil and others (2014): An Introduction to Scientific Research Methods in Education and Psychology, Dar Al-Samt, Jordan.
- Alhashmi, S. F., et al. (2020). A systematic review of the factors affecting the artificial intelligence implementation in the health care sector. *Journal of Multidisciplinary Healthcare*, 13, 271–280.
- -Ali, M. (2023). Applications of artificial intelligence in sports education: Reality and challenges. Journal of Sports Science Technology, 45. Retrieved from https://qalamm.gu.edu.ly/ar/j/issue-articles/212/download
- -Ali, M. H. F. (2023). Health anxiety and its relationship with the motivation to practice physical education and sports among some preparatory school students in Kirkuk. Al-Rafidain Journal of Sports Sciences, 26(81), Mosul, Iraq.
- Baca, A. (2009). *Computer science in sport: Research and practice*. Routledge.
- -Bahy, M. H., et al. (2002). Mental health in the sports field: Theories and applications. Anglo-Egyptian Library, Cairo, Egypt.
- -Bloom, B., et al. (1983). Evaluation of student learning: Summative and formative. Translated by M. A. Al-Mufti et al. Macmillan, Cairo, Egypt.
- Bunge, M., et al. (2020). Accuracy of artificial intelligence-assisted detection of upper GI lesions: A systematic review and meta-analysis. *Gastrointestinal Endoscopy*, 92(4), 821–830.e9.
- Bunker, R. P., & Thabtah, F. (2019). A machine learning framework for sport result prediction. *International Journal of Computer Science in Sport*, 18(1), 1–21.
- Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. *International Journal of Information Management*, 75, 101994.
- -Elsevier. (2022). Attitudes toward AI: Shaping an AI-driven future. Retrieved from https://www.elsevier.com/insights/attitudes-toward-ai/shaping-an-ai-driven-future.
- European Commission. (2022). Artificial Intelligence and the future of education: Guidelines for teachers. https://ec.europa.eu/commission/presscorner/detail/en/ip_22_6338
- -Hassan, S., et al. (2022). A comprehensive AI policy education framework for university teaching and learning. *International Journal of Educational Technology in Higher Education*, 19(1), 1–21.
- -Hussein, I. N., & Salim, M. Z. (2024). Evaluation of functional competencies of student activities department managers in Iraqi universities from the perspective of their sports staff. Al-Rafidain Journal of Sports Sciences, 27(84), Mosul, Iraq..
- -IEEE. (2019). Ethically aligned design: A vision for prioritizing human well-being with autonomous and intelligent systems. https://standards.ieee.org/industry-connections/activities/ieee-global-initiative/
- -Lazem, A., et al. (2024). The impact of artificial intelligence strategies and digital methodology on physical education teaching: The importance of integrating these technologies into curricula. Retrieved from https://jsrse.edu.iq
- -Shaaban, A. Q. M. (2021). Artificial intelligence and its applications in higher education. Educational Journal, Faculty of Education, Sohag University, 84(84), 1–23.
- Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103(2684), 677–680.
- -Suleiman, R. M. S. (2024). University of Zakho students’ attitudes towards face-to-face, electronic, and blended learning according to gender and study stage. Al-Rafidain Journal of Sports Sciences, 27(85), Mosul, Iraq.
- -UNESCO. (2021). Recommendation on the ethics of artificial intelligence. https://www.unesco.org/en/artificial-intelligence/re
Identifiers
Download this PDF file
Statistics
How to Cite
Copyright and Licensing
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
