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AI-Enhanced Blended Methods Versus Traditional Approaches: A Comparative Analysis of Motor Effectiveness in High School Physical Education (106918)

Session Information: Teaching and Learning
Session Chair: Dana Badau

Monday, 11 May 2026 18:40
Session: Session 5
Room: Room G407 (4F)
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Introduction: Educational digitalization and recent transformations have created a need for methodological innovation in physical education, particularly to optimize students' active engagement time. This study investigates the impact of integrating artificial intelligence (AI) as a virtual teacher in blended physical education (PE) lessons on motor density (MD), compared to traditional teaching methods.
Method: Twelve lessons were evaluated (2 times per week, 50 minutes each), involving 62 students (age 15.2 ± 0.5 years). Participants were randomized into a control group (CG, n=30) using traditional methods and an experimental group (EG, n=32) using blended methods combining virtual teacher intervention with in-person teacher instruction. MD formula: MD = active time (AT) / lesson duration (LD), using Polar H10 monitors for temporal parameters. Statistical analysis: inferential (α = 0.05), ANOVA and effect size calculation (Cohen's d).
Results: Blended lessons generated an average increase in active time of 4.30 minutes compared to traditional lessons. MD in blended lessons reached 70.12% versus 57.78% in traditional lessons, revealing a statistically significant difference (p < 0.001) with a large effect size (d = 0.738), representing a 12.34% efficiency advantage. Conclusions: The integration of AI-based virtual teachers into PE methodology demonstrates a significant positive impact on students' active engagement. The results suggest the potential of AI technologies to democratize access to personalized instruction for adolescents. This technological integration can contribute to reconfiguring the professional identity of teaching staff and adapting educational systems to the demands of contemporary digital society.

Authors:
Badau Dana, Transilvania University of Brasov, Romania
Badau Adela, Transilvania University of Brasov, Romania


About the Presenter(s)
Dana Badau is a Full Professor (Ph.D.) at Transilvania University of Brașov, Faculty of Physical Education and Mountain Sports, with research interests in physical education methodology and sports training.

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00