Abstract

Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of colleges. To solve the problem, this paper identifies the problems with the AI in college education and dance teaching, theoretically discusses the application strategies of the AI in dance teaching of colleges, and demonstrates the promotive effect of AI in college dance teaching. Next, a performance analysis model was established based on fuzzy interval num-ber, grey system theory, and analytic hierarchy process (AHP), and adopted to evaluate the performance of the AI application in college dance teaching. The research results shed a new light on the application of cutting-edge tech-niques in college education.

Highlights

  • The rapid development of science and technology makes Artificial intelligence (AI) to be widely used in more and more engineering fields, providing a very strong support for the improvement of the design capability and design competitiveness of complex system engineering projects [1,2]

  • Dance teaching is an important part of higher education, the transfer of knowledge related to dance skills, dance moves, and dance expression requires to pay more attention to the teaching details, which makes the AI have a very broad application prospect in dance teaching

  • The first part gives an overall introduction to the related research concerning the application of AI in dance teaching; the second part analyzes the problems existing in the AI application in dance teaching; the third part discusses the supportive role of AI in the dance teaching of colleges; the fourth part analyzes the application strategies of AI in modern dance teaching; the fifth part realizes the performance analysis of AI in dance teaching; and the sixth part gives the conclusion of this paper

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Summary

Introduction

The rapid development of science and technology makes AI to be widely used in more and more engineering fields, providing a very strong support for the improvement of the design capability and design competitiveness of complex system engineering projects [1,2]. With the continuous development of AI, when applying many emerging intelligent technologies in dance teaching, new operational problems will appear inevitably, which would make the existing research generate the problem of insufficient adaptability; since researchers have very different starting points, it has laid certain limitations to the application strategies and development prospect of AI in dance teaching To this end, by referring to existing research results, this paper theoretically analyzes the application strategies of AI in dance teaching in colleges, by comprehensively using fuzzy interval numbers [11,12,13], gray system theory [14,15] and AHP method, it constructs a corresponding performance analysis model. The first part gives an overall introduction to the related research concerning the application of AI in dance teaching; the second part analyzes the problems existing in the AI application in dance teaching; the third part discusses the supportive role of AI in the dance teaching of colleges; the fourth part analyzes the application strategies of AI in modern dance teaching; the fifth part realizes the performance analysis of AI in dance teaching; and the sixth part gives the conclusion of this paper

Simple content of dance teaching
Lagging dance teaching methods
Unclear dance teaching goal
Insufficient investment in dance teaching
Insufficient AI application
Richer dance teaching methods
Stronger ability of dance teaching platform construction
Higher adaptability of the mixed dance teaching mode
Better dance teaching curriculum planning
Highly innovative dance teaching content
More advanced concept of dance education
Improved dance teaching quality and efficiency
Make the hardware equipment of dance teaching more intelligent
Expand the application scope of AI in dance teaching
Enhance the faculty competence of intelligent dance teaching
Enhance the AI-based dance teaching assessment ability
Well manage and plan the intelligent dance teaching
Research methods for performance analysis
Construction of performance analysis system
Construction of performance analysis model
Conclusion
Authors
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