Application of hybrid intelligent systems in personalized dance education: algorithm design and practical verification

This article explores the application of hybrid intelligent systems in personalized dance education, particularly in algorithm design and practical verification. The hybrid intelligent system combines machine learning, artificial intelligence, and human intelligence to provide customized dance teaching. This article first introduces the theoretical basis and related technologies of hybrid intelligent systems and then describes in detail the system framework and algorithm design. Subsequently, this article validated the effectiveness of the algorithm through experiments and analyzed the user experience and teaching effectiveness. The experimental results show that the proposed hybrid intelligent system can effectively recognize dance movements and generate personalized teaching strategies based on students' abilities and preferences. Finally, this article discusses the limitations of the research and proposes future research directions. This study provides a new teaching method for dance education and a reference for the application of hybrid intelligent systems in other educational fields.