Abstract: To promote innovation in the teaching mode of applied undergraduate universities, this article explores the application path and effectiveness of artificial intelligence technology in teaching. This article takes applied undergraduate universities as the research object, and through a combination of theoretical analysis and practical cases, constructs a teaching mode framework empowered by artificial intelligence, focusing on three key stages: intelligent planning before class, optimization of classroom interaction, and personalized feedback after class. The research results indicate that artificial intelligence technology can significantly improve the adaptability of teaching content, the efficiency of classroom interaction, and the accuracy of learning feedback, promoting the comprehensive improvement of teaching quality. This article further proposes innovative strategies for optimizing course design, introducing intelligent tools, and strengthening evaluation feedback, providing theoretical basis and practical reference for the teaching mode reform of applied undergraduate universities.

Key words: Artificial intelligence, Applied undergraduate program, Universities, Teaching mode, Teaching innovation, Intelligent education