Abstract: Under the background of digital transformation of education and the revolution of automobile industry, it is urgent to carry out teaching reform and innovation in applied undergraduate automobile courses. This study explores the teaching reform path of an artificial intelligence empowerment course using the course engine principles as an example, in view of the problems of abstract course content, insufficient personalized learning support, and a single evaluation method. Guided by the course objectives and combined with the development trend of multi-power source coordination in the automobile industry, the course knowledge system is reconstructed by building a four-dimensional map of "knowledge-problem-ability-ideological and political". The three-level and three-element personalized teaching model is designed, and a three-dimensional evaluation system, including knowledge mastery, ability development, and literacy achievement, is established to promote the precision of teaching implementation and the personalization of learning paths. The teaching practice shows that the reform scheme effectively improves students' classroom participation and knowledge understanding depth, enhances engineering practice ability and innovation thinking, and provides practical experience for the teaching reform of automobile specialty course.

Key words: vehicle engineering; teaching reform; artificial intelligence; personalized teaching

摘要： 在教育数字化转型与汽车产业变革背景下，应用型本科汽车类专业课程亟须开展教学 改革与创新。文章以发动机原理课程为例，针对现有课程内容抽象、个性化学习支持不足及 评价方式单一等问题，探索人工智能赋能课程教学改革路径。以课程目标为导向，结合汽车 产业多动力源协同发展趋势，通过构建课程“知识-问题-能力-思政”四维图谱，重构课程知 识体系。设计三阶三元个性化教学模式，并建立包括知识掌握度、能力发展度及素养达成度的 三维评价体系，推动教学实施精准化和学习路径个性化。教学实践表明，该改革方案有效提 升了学生课堂参与度和知识理解深度，培养了工程实践能力与创新思维，为汽车类专业课程 教学改革提供了可推广的实践经验。

关键词: 车辆工程；教学改革；人工智能；个性化教学