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

Ran Yang


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.

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Copyright (c) 2020 Ran ZhangYang

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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