Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan

Jiajun Nan

doi:10.47297/wspiedWSP2516-250043.20250907

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Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan

9卷第7期

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Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan
Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan
Liaoning University of International Business and Economics, Dalian, Liaoning, 116052, China
2025年9卷第7期页码：201-204
纸质出版日期：2025-07-31
DOI：10.47297/wspiedWSP2516-250043.20250907
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(2025). Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan. 国际教育与发展（英文版）, 9(7), 201-204.

Nan Jiajun.Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan[J].Journal of International Education and Development,2025,09(07):201-204.
(2025). Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan. 国际教育与发展（英文版）, 9(7), 201-204. DOI： 10.47297/wspiedWSP2516-250043.20250907.

Nan Jiajun.Application of Generative AI in the Design of Personalized Learning Paths in College Basketball Tactical Courses: A Comparative Study of Educational Technology Policies in the United States, Germany, and Japan[J].Journal of International Education and Development,2025,09(07):201-204. DOI： 10.47297/wspiedWSP2516-250043.20250907.

摘要

Abstract

We introduce Tactics Fair

a federative generative AI framework that incorporates bias awareness for basketball tactics training

combining federated learning

generative models

and adversarial debiasing to achieve a balance between personalization and fairness. It combines learner profiles with tactical concepts

applies federated optimization alongside differential privacy

and incorporates a causal module to address historical biases. Results indicate a 28% decrease in bias and a 3% improvement in accuracy compared to the baseline

with potential applications extending beyond basketball.

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Keywords

references

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