AI-Augmented Interdisciplinary Physics Pedagogy for Emerging Engineering Education

Abstract

This study explores the innovative interdisciplinary teaching model of university physics empowered by artificial intelligence (AI) in the context of emerging engineering education (New Engineering). By integrating core concepts of physics with AI technologies such as machine learning, data mining, and intelligent tutoring systems, this research aims to enhance students’ scientific literacy, computational thinking, and cross-disciplinary innovation capabilities. The study focuses on the design principles of the teaching model, strategies for AI-technology integration, interdisciplinary curriculum reconstruction, and multidimensional evaluation mechanisms. Practice has demonstrated that this model not only improves students’ conceptual understanding and problem-solving skills in physics but also cultivates their adaptability to complex engineering challenges, providing an effective pathway for fostering versatile talents in the era of intelligent technology.