Under the background of digital transformation in education, the integration of AI technology with film and television post-production classes in higher education institutions has become an inevitable direction for industry development and teaching reform. Judging from the current situation of integration, there are many practical problems, such as teachers' insufficient AI application skills and weak teaching guidance, students' excessive reliance on technology and gradual weakening of creative thinking, as well as the lagging update of the teaching system that is seriously incompatible with AI technology. Based on an in-depth analysis of these difficulties, this paper proposes improvement strategies from three dimensions, namely enhancing teachers' practical application ability of AI and constructing a collaborative teaching model, strengthening the cultivation of students' creative thinking and building a teaching framework that integrates technology and art, as well as optimizing the teaching system and creating a multi-dimensional support platform, aiming to effectively promote the deep integration of AI technology into the entire teaching process of film and television post-production, effectively improve the teaching quality, and cultivate compound film and television creative talents who are more in line with industry needs.
Qingzhong et al. (2025) studied this question.