The Intelligent Teaching Reform and Practice Exploration of the Automobile Engine Principles Course under the AIGC Drive

Abstract

In recent years, with the penetration of artificial intelligence (AI) and generative artificial intelligence (AIGC) into the education field, many universities have vigorously carried out intelligent teaching reforms, integrating AI technology throughout the entire teaching process. This paper takes the core compulsory course of vehicle engineering, “Automobile Engine Principles”, as the research object. In response to the long-standing problems such as lagging teaching content, one-way teaching process, single teaching evaluation, and loose course management, it proposes the integration of generative AI and digital technologies into the entire teaching process, and constructs a three-in-one intelligent teaching model of intelligent reconstruction of teaching content, intelligent adaptation of teaching methods, and intelligent diagnosis of teaching evaluation. Through intelligent digital means such as virtual simulation, online teaching platforms, and “teacher-student-machine” intelligent interactive learning systems, the teaching reform practice is carried out. The results show that this teaching reform effectively improves students’ practical ability and subjective initiative, enhances the quality of classroom teaching, and provides a reference model for the teaching reform of other courses in the vehicle engineering major.