Digital and Intelligent Transformation of Art and Design Teachers’ Teaching Quality: Influencing Factors, AI Empowerment Strategies, and Evaluation System Reconstruction
Abstract
To further improve the teaching quality of art and design and enhance the effectiveness and quality of talent cultivation, this paper conducts research from the perspective of teachers’ digital and intelligent transformation. Firstly, the study explores the influencing factors from the perspectives of enabling factors, challenging factors, and institutional constraints. Secondly, it proposes effective countermeasures for AI empowering art and design teaching from the teacher dimension, school dimension, and governance dimension to assist the digital and intelligent transformation of teaching. Finally, it puts forward the reconstruction strategies of the evaluation system, including the transformation of the evaluation concept, the innovation of evaluation dimensions and tools, and the evaluation implementation mechanism, so as to promote the improvement of the teaching quality of art and design teachers and the digital and intelligent transformation of teaching.
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