【摘要】 人工智能赋能高校篮球教学是教育数字化转型的重要实践，对深化体育教学改革具有战略意义。研究基于建构主义学习理论，采用文献研究与案例分析相结合的方法，从知识观和学习观两个维度系统阐释人工智能赋能篮球教学的理论逻辑。围绕建构主义学习理论的情景认知、社会互动、主动构建的关键内核提出人工智能赋能高校篮球教学模式的应用路径：创设智能沉浸式学习情境，打造篮球课程知识学习新生态；强化智能化协作战术应用，深化赛场篮球决策的集体建构；提供个性化数据驱动反馈，激发学习动机与自主调控能力。实践表明，该模式能有效提升学生战术决策正确率、动作规范度。研究成果为破解传统篮球教学中认知建构不足、个性化指导缺失等难题提供系统性解决方案，对推进体育教育智能化发展具有实质参考价值。更多还原

【Abstract】 Empowering college basketball teaching with artificial intelligence is an important practice in the digital transformation of education, and has strategic significance for deepening the reform of physical education teaching. This study is based on constructivist learning theory and adopts a combination of literature research and case analysis to systematically explain the theoretical logic of artificial intelligence empowering basketball teaching from the dimensions of knowledge and learning perspectives. Proposing the application path of artificial intelligence empowering college basketball teaching mode based on the key core of scenario cognition and active construction of social interaction around constructivist learning theory: creating intelligent immersive learning scenarios and creating a new ecosystem for basketball course knowledge learning; strengthening the application of intelligent collaborative tactics and deepening the collective construction of basketball decision-making on the court; providing personalized data-driven feedback to stimulate learning motivation and self-regulation ability. Practice has shown that this model effectively improves the accuracy of students’ tactical decision-making and increases the standardization of their movements. The research results provide systematic solutions to the problems of insufficient cognitive construction and lack of personalized guidance in traditional basketball teaching, and have substantial reference value for promoting the intelligent development of physical education.更多还原