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Digital Education and E-Learning Innovations

ISSN: 3067-3259

The journal has been developed, based on the editors’ vision, to become a forum for publishing sound research findings that investigate the potential of technology in enhancing education delivery systems. The journal is devoted to providing a forum for dissemination of knowledge, technological enhancement of education and teaching methodologies, the use of Information Communication Technology in learning processes, best corporate e learning platform and the e-learning technologies that are changing the face of learning systems and curriculum the world over.

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From Court to Code: Evaluating the Impact of AI-Driven Data Analytics on Tactical Awareness and Player Development in Youth Basketball

1*Suryanarayan Mattathil Sandhip

1 Independent Researcher

Received: 28-Apr-2026 | Revised: 13-May-2026 | Accepted: 01-Jun-2026 | Pages: 1-16

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Doi

https://doi.org/10.64220/deei.v2i1.001

Abstract

The latest advances of Artificial Intelligence (AI) and sport analytics have greatly enhanced the nature of the performance evaluation and development process of athletes. The study aimed to determine how performance analytics based on AI can affect the tactical awareness, decision-making skills, and technical confidence of youth basketball players. The research design was a quasi-experimental pre-test and post-test. The sample size used to collect the data was 100 young basketball players, who played basketball, and 30 basketball trainers were interviewed and surveyed after training. Quantitative data were compared through paired sample t-test, correlation, and regression analysis on SPSS, whereas qualitative responses were done by thematic analysis. Heatmap representations as well were created to demonstrate pre and post intervention differences in terms of player movements and spatial positioningThe average AI-based performance feedback, tactical visualization tools, data-driven coaching guidance, and player development, as well as tactical awareness, grew by a factor of 2.49 to 4.22, 2.56 to 4.19, 2.63 to 4.31, and 2.49 to 4.21, respectively (p = 0.001). Heatmap analysis also showed that there was better placement of players and use of a wider area of the court, which occurred after the training program. The thematic analysis revealed three themes: player awareness improved via the use of analytical feedback, tactical comprehension better through the use of visualization tools, and confidence improved via the use of structured datadriven coaching feedback. The results suggest that AI-based analytical tools have the potential to improve tactical learning and player development in basketball training to a large extent. Further studies should apply actual AI-based tracking technology and more extensive training interventions to determine the lasting effect of sports analytics on the development of sportspeople

Keywords

Decision-Making; Artificial Intelligence (AI); Sports Performance Analysis; Basketball; Sports; Training.

Cite this Article

APA Style

Sandhip, S. (2026). From Court to Code: Evaluating the Impact of AI-Driven Data Analytics on Tactical Awareness and Player Development in Youth Basketball. *Digital Education and E-Learning Innovations, Volume 2 (2026)*(Issue 1), 1-16. https://doi.org/10.64220/deei.v2i1.001

MLA Style

Suryanarayan Mattathil Sandhip. "From Court to Code: Evaluating the Impact of AI-Driven Data Analytics on Tactical Awareness and Player Development in Youth Basketball." *Digital Education and E-Learning Innovations*, vol. Volume 2 (2026), no. Issue 1, 2026, pp. 1-16. https://doi.org/10.64220/deei.v2i1.001

Chicago Style

Suryanarayan Mattathil Sandhip. "From Court to Code: Evaluating the Impact of AI-Driven Data Analytics on Tactical Awareness and Player Development in Youth Basketball." *Digital Education and E-Learning Innovations* Volume 2 (2026), no. Issue 1 (2026): 1-16. https://doi.org/10.64220/deei.v2i1.001