Application of artificial intelligence in digital media technology education

Abstract

With the rapid development of artificial intelligence technology and the increasing importance of digital media technology education, it is particularly critical to explore the application of artificial intelligence in this field. The purpose of this study is to evaluate the application effect of artificial intelligence on digital media technology education and conduct a comprehensive analysis through three dimensions: experimental research, questionnaire survey, and model construction and verification. Experimental research results show that AI-assisted pedagogy is superior to traditional methods in improving academic achievement and engagement. The results of the questionnaire reflect the positive attitude of educators, students, and industry experts towards the application of AI, and the personalized learning recommendation and learning outcome prediction models constructed perform well in accuracy and F1 scores. Although challenges such as technology integration, data privacy, student engagement, and resource costs are encountered during implementation, these challenges can be effectively overcome with sound strategies and innovative approaches. The findings of this study not only confirm the application potential of AI in the field of education but also provide valuable insights and directions for the future development of educational technology.