THE IMPACT OF EMPLOYING AI IN ANALYZING STUDENTS' PERFORMANCE WHILE LEARNING BASKETBALL

Authors

  • M. Mazin Abdulaaima Kadhim Alsaedi Faculty of Physical Education and Sports Sciences, Maysan University, IRAQ

DOI:

https://doi.org/10.21009/jor.v4i2.62144

Keywords:

AI in analyzing, students' performance, basketball learning

Abstract

Background. Artificial Intelligence (AI) is considered one of the most prominent tools of the technological revolution in this context, as it has contributed to changing teaching methods from traditional memorization approaches to interactive practices that rely on data analysis, motion simulation, and providing accurate and immediate feedback to students. Objectives. The aim of this study is to examine how using AI (AI) technologies affects the way physical education students perform when learning basketball skills. Method. A random sample of 60 students from Maysan University's physical education department (30 experimental groups trained and analyzed using an AI system based on posture tracking and motor discrimination, and 30 control groups using conventional methods) was used in this quasi-experimental study. Along with measures of learning motivation and pleasure, skill performance data (shooting from a standstill and while moving, ball handling, passing, and individual defense) were gathered both before and after. Results. The significant values (p ≤ 0.05) confirm the existence of meaningful differences in favor of the post-test, indicating the effectiveness of AI in performance improvement. Conclusion. According to the findings, the experimental group outperformed the control group in the majority of performance metrics, tactical awareness, and artificial intelligence. AI techniques (such as motion analysis via video and real-time feedback) contributed to improving the accuracy of skill execution.

References

Alam, A. (2022). A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 69–74. https://doi.org/10.1109/ICSCDS53736.2022.9760932

Bellas, F., Guerreiro-Santalla, S., Naya, M., & Duro, R. J. (2022a). AI Curriculum for European High Schools: An Embedded Intelligence Approach. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00315-0

Bellas, F., Guerreiro-Santalla, S., Naya, M., & Duro, R. J. (2022b). AI Curriculum for European High Schools: An Embedded Intelligence Approach. International Journal of Artificial Intelligence in Education, 1–28. https://doi.org/10.1007/s40593-022-00315-0

Chapman, J. A., Lee, L. M. J., & Swailes, N. T. (2020). From Scope to Screen: The Evolution of Histology Education. Advances in Experimental Medicine and Biology. https://doi.org/10.1007/978-3-030-47483-6_5

Cossich, V. R. A., Carlgren, D., Holash, R. J., & Katz, L. (2023). Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Augmented Reality, and Modern Data Visualization in Performance Analysis. In Applied Sciences (Vol. 13, Issue 23). https://doi.org/10.3390/app132312965

Dhia, Z., Suryadi, D., Samodra, Y. T. J., Mashud, Mardiyyaningsih, A. N., Saputra, E., Németh, Z., Syam, A., Dewintha, R., & Fazarudin. (2023). Assessing the influence of playing method on the outcome of basketball shooting ability. Physical Culture, Recreation and Rehabilitation, 2(1), :37-43. https://doi.org/10.15561/physcult.2023.0106

Dong, X. (2021). Application of Data Mining Technology in Public Welfare Sports Education in the Era of Artificial Intelligence. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/8692292

Ebrahim, T. Y., & Hussein, S. A.-H. J. A. (2025). The effectiveness of experiential learning strategy to developing some fixed-case football plans for students. Tanjungpura Journal of Coaching Research, 3(2), 133–143. https://doi.org/10.26418/tajor.v3i2.90311

Flogie, A., & Aberšek, B. (2021). Artificial Intelligence in Education. In Active Learning: Theory and Practice (pp. 1–21). IntechOpen. https://doi.org/10.5772/intechopen.96498

Fomunyam, K. G. (2022). Machine Learning and Stem Education: Challenges And Possibilities. In International Journal of Difference Equations (IJDE.

Haïdara, Y., Okilanda, A., Dewintha, R., & Suryadi, D. (2023). Analysis of students’ basic basketball skills: A comparative study of male and female students. Tanjungpura Journal of Coaching Research, 1(1), 1–5. https://doi.org/10.26418/tajor.v1i1.63796

Hardinata, R., Fakhruddin Fakhruddin, Syarif, A., Ahwan, M. T. R., Abidin, M. Z., Alamsyah, A., Abdulrahman, D., Shukla, M., Malek, N. F. A., & Sa’adah, S. P. (2023). The use of audio-visual media: how does it affect rhythmic movement skills? Tanjungpura Journal of Coaching Research, 1(2), 38–47. https://doi.org/10.26418/tajor.v1i2.66586

Hussein, A. R. A. (2025). The effect of the Ayas model to learning individual fast attack and high-order thinking skills of handball for students. Tanjungpura Journal of Coaching Research, 3(1), 56–66. https://doi.org/10.26418/tajor.v3i1.89153

Jaić, K. K., Turković, T. M., Pešić, M., Djaković, I., Košec, V., Košec, A., NCT02197546, NCT01729052, Saghaei, M., Razavi, S., NCT01729052, Martin, C. S., Deverman, S. E., Norvell, D. C., Cusick, J. C., Kendrick, A., Koh, J., Gilbey, P., Bretler, S., … Lalwani, K. (2010). Pediatric Laser Acupuncture and Renal Biopsy. Zhongguo Zhen Jiu [Chinese Acupuncture & Moxibustion].

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. In Sustainability (Vol. 15, Issue 16, p. 12451). https://doi.org/10.3390/su151612451

Karasievych, S., Maksymchuk, B., Kuzmenko, V., Slyusarenko, N., Romanyshyna, O., Syvokhop, E., Kolomiitseva, O., Romanishyna, L., Marionda, I., Vykhrushch, V., Oliinyk, M., Kovalchuk, A., Halaidiuk, M., & Maksymchuk, I. (2021). Training Future Physical Education Teachers for Physical and Sports Activities: Neuropedagogical Approach. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 12(4 SE-), 543–564. https://doi.org/10.18662/brain/12.4/264

Li, H., & Xiong, X. (2023). Artificial intelligence volleyball special test system based on deep learning and 3D imaging technology. https://doi.org/10.1117/12.3009590

Liu, A., Mahapatra, R. P., & Mayuri, A. V. R. (2023). Hybrid design for sports data visualization using AI and big data analytics. Complex and Intelligent Systems, 9, 2969–2980. https://doi.org/10.1007/s40747-021-00557-w

Liu, T., Wilczyńska, D., Lipowski, M., & Zhao, Z. (2021). Optimization of a sports activity development model using artificial intelligence under new curriculum reform. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18179049

Lv, J., Jiang, X., & Jiang, A. (2022). Application of Virtual Reality Technology Based on Artificial Intelligence in Sports Skill Training. In Wireless Communications and Mobile Computing. https://doi.org/10.1155/2022/4613178

Morkhat, P. M. (2018). Artificial intelligence in sports: Potentialities and implementation ways and tools. Teoriya i Praktika Fizicheskoy Kultury.

Nakai, M., Tsunoda, Y., Hayashi, H., & Murakoshi, H. (2019). Prediction of Basketball Free Throw Shooting by OpenPose. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11717 LNAI. https://doi.org/10.1007/978-3-030-31605-1_31

Nyshchak, I., Martynets, L., Kurach, M., Buchkivska, G., Greskova, V., & Nosovets, N. (2020). Didactic Opportunities of Information and Communication Technologies in Graphic Training of Future Technology Teachers. BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 11(2), 104–123. https://doi.org/10.18662/brain/11.2/77

Phatak, A. A. (2021). Artificial Intelligence Based Body Sensor Network Framework—Narrative Review: Proposing an End-to-End Framework using Wearable Sensors, Real-Time Location Systems and Artificial Intelligence/Machine Learning Algorithms for Data Collection, Data Mining and. In Sports Medicine - Open (Vol. 7, Issue 1). https://doi.org/10.1186/s40798-021-00372-0

Saputra, E., Suryadi, D., Samodra, Y. T. J., Dewintha, R., Suganda, M. A., Syam, A., Mashud, & Wati, I. D. P. (2023). Eye-hand coordination with basketball dribbling skills: Does it have a relationship? Physical Culture, Recreation and Rehabilitation, 2(1), 10–17. https://doi.org/10.15561/physcult.2023.0102

Zulnadila, Suharjana, Arjuna, F., Sriwahyuniati, C. F., Mappanyukki, A. A., Rahman, A., Agustina, D., & Szczepocki, M. (2025). Traditional games for physical fitness in primary school students: A systematic review in Indonesia. Tanjungpura Journal of Coaching Research, 3(1), 76–86. https://doi.org/10.26418/tajor.v3i2.89690

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Published

2025-11-19