Intelligent Technology-Based Improvement of Teaching Ability of Professional Courses in Art Design

• Main Author: Jing Peng
• Format: Article
• Language: English
• Published: Kassel University Press 2020-12-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Online Access: https://online-journals.org/index.php/i-jet/article/view/19029

Despite the development of intelligent technology, there are many problems in the improvement of teaching ability of professional courses in art design, namely, the impact from multiple factors, the imperfectness of the evaluation index system, and the lack of quantitative analysis. To solve the problems, this paper probes deep into the connotations and influencing factors of the teaching ability of the said courses in the context of intelligent technology. Through theoretical analysis, several strategies were presented to improve the teaching ability of the said courses. To effectively evaluate the ability, the authors set up a robust evaluation index system from multiple angles, and provided a quantitative analysis model. The research results provide a good reference for art design teachers to improve their teaching ability.