In order to improve the teaching quality and training efficiency of sports training, the human–computer interaction (HCI) technology of artificial intelligence technology is used to build an expert system, and the cognitive model of self-help navigation and hypertext navigation is designed for students, so that they can obtain the corresponding theoretical knowledge through the cognitive model in the system, and complete the training task better. The results show that the theoretical system of expert system can constantly update the knowledge system and case base. When students learn the relevant content and ask questions, the system can give some answers and assist students to complete the training work. The response time of the system is less than 5 s, the response time of more content is less than 10 s, and the accuracy of the system is about 90%. Therefore, the use of HCI technology in AI to design an efficient sports training environment teaching system is of great significance for improving students' learning efficiency, expanding the application of AI technology in the field of education and sports training, and for the development of technology and the improvement of teaching quality.

为提高运动训练的教学质量和训练效率，利用人工智能技术的人机交互（HCI）技术构建专家系统，设计自助导航和超文本导航的认知模型。从而通过系统中的认知模型获得相应的理论知识，更好地完成训练任务。结果表明，专家系统理论体系可以不断更新知识体系和案例库。当学员学习到相关内容并提出问题时，系统可以给出一定的答案，协助学员完成培训工作。系统响应时间小于5s，更多内容响应时间小于10s，并且系统的准确率约为90%。因此，利用人工智能中的人机交互技术设计高效的运动训练环境教学体系，对于提高学生的学习效率，扩大人工智能技术在教育和运动训练领域的应用，促进技术的发展具有重要意义。以及教学质量的提高。