Artificial Intelligence-Based Strategies for Improving the Teaching Effect of Art Major Courses in Colleges

Authors

  • Ran Yang Art Theory and Management Department, Sichuan Conservatory of Music, Chengdu 610002, China

DOI:

https://doi.org/10.3991/ijet.v15i22.18199

Abstract


In the context of artificial intelligence (AI), this paper attempts to develop strategies to improve the teaching effect of art major courses in colleges, and overcome the existing problems with the improvement process. Firstly, the authors analyzed the manifestations of the teaching effects of art major courses, and then discussed the relevant factors that affect the teaching effect of such courses. Next, the potential improving effects of the AI on the teaching effect of art major courses were expounded in details. On this basis, an evaluation model was developed to reflect the improving effects. Finally, several AI-based strategies were put forward to optimize the teaching of art major courses in collages. This research fully integrates theoretical analysis with model calculation, and innovatively introduces the AI to the teaching effect improvement in major courses.

Author Biography

Ran Yang, Art Theory and Management Department, Sichuan Conservatory of Music, Chengdu 610002, China

Ran Yang is member of the art criticism, Sichuan conservatory of Music. she is an Artist. Her research focuses on the diversity and innovation of public art education in the era of artificial intelligence. Her video is collected by A4 Arts Museum.

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Published

2020-11-30

How to Cite

Yang, R. (2020). Artificial Intelligence-Based Strategies for Improving the Teaching Effect of Art Major Courses in Colleges. International Journal of Emerging Technologies in Learning (iJET), 15(22), pp. 146–160. https://doi.org/10.3991/ijet.v15i22.18199

Issue

Vol. 15 No. 22 (2020)

Section

Papers

License

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