Research on the Improvement Paths and Guarantee Mechanisms of Art Teachers' Teaching Ability under the "Artificial Intelligence + Education" Action Plan

Abstract

Against the background of the in-depth advancement of the "Artificial Intelligence + Education" Action Plan jointly issued by five ministries and commissions including the Ministry of Education, artificial intelligence technology has gradually penetrated into the entire process of art education and teaching, putting forward new requirements for art teachers' teaching ability in the new era and injecting new momentum into the high-quality development of art education. At present, the group of art teachers in China generally has problems such as weak ability in applying artificial intelligence, insufficient integration of teaching and artificial intelligence, and inadequate ability adaptation, which makes it difficult to fully implement the policy requirements and meet the development needs of art education in the intelligent era. Guided by this Action Plan and combined with the professional characteristics of art education such as fine arts, music, and design, this paper adopts the methods of literature research, questionnaire survey, and case analysis to systematically sort out the core requirements of the policy for art teachers' teaching ability, in-depth analyze the current situation, prominent problems, and underlying causes of art teachers' teaching ability, focus on exploring targeted paths for improving teaching ability, and construct a comprehensive and implementable guarantee mechanism. It aims to provide theoretical reference and practical guidance for promoting art teachers to adapt to the reform of intelligent education, improve the quality of art teaching, and implement the requirements of the "Artificial Intelligence + Education" Action Plan, so as to help the intelligent and high-quality development of art education.