International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 2
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Impact of Artificial Intelligence tools on teaching and learning effectiveness in Physical Education

Author(s) Dr. Subal Chandra Das
Country India
Abstract ABSTRACT
The integration of Artificial Intelligence (AI) in education has revolutionized teaching and learning processes, and Physical Education is no exception. This research paper explores the impact of AI tools on teaching and learning effectiveness in physical education. The study examines how AI enhances instructional methods, facilitates personalized learning, monitors performance, and improves overall student engagement. For the study total 120 (N=120) participants were selected by using purposive sampling technique, including 20 physical education teachers & professors and 100 students from schools and colleges in Tripura. The self made questionnaire, observation & interview are used to collect the data to assess perceptions of AI effectiveness in teaching and learning. By reviewing contemporary literature and analyzing current applications of AI in Physical Education, this paper highlights both the benefits and challenges of using AI-based tools. The quantitative data were analyzed by using descriptive statistics (mean, SD, percentage) and inferential statistics (t-test, correlation). Qualitative data from interviews were thematically analyzed to identify emerging patterns. The findings indicate that AI contributes significantly to improving physical education outcomes by offering data-driven insights, adaptive learning experiences, and innovative pedagogical strategies. However, issues such as technological literacy, cost, and ethical considerations remain barriers to its full implementation. The paper concludes by suggesting strategies for effective integration of AI in physical education for sustainable and inclusive learning.
Keywords Keywords: Artificial Intelligence, Physical Education, Teaching Effectiveness, Learning Outcomes, Educational Technology, Personalized Learning.
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-19
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.71828
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E-ISSN 2582-2160
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