Abstract: Generative artificial intelligence (AI), as an emerging branch in the AI field, has brought unprecedented challenges and new opportunities to higher education. Addressing the distinctive characteristics of academic disciplines and curriculum design, this study analyzes practical challenges in traditional teaching models while aligning with the talent development objectives of new engineering education. It proposes a teaching practice framework for Automotive Theory course reform through generative AI empowerment. By leveraging the DeepSeek model, the research explores effective integration of generative AI into instructional processes, continuously optimizing teaching objectives, course content, instructional activities, and evaluation systems. This approach ensures curriculum alignment with cutting-edge technologies, enhances teaching effectiveness, and elevates the quality of talent cultivation.

Key words: generative artificial intelligence; DeepSeek; Automotive Theory

摘要： 生成式人工智能（AI）是 AI 领域的一个新兴分支，其出现不仅为高等教育带来了前所 未有的挑战也带来了新的机遇。针对专业特色及课程特点，文章通过分析传统教学模式中存 在的现实难题和痛点，结合新工科人才培养目标，提出生成式 AI 赋能汽车理论课程教学改革 探索的教学实践方案。通过使用 DeepSeek 模型，探索如何在课程教学过程中合理使用生成式 AI 进行教学，在教学目标、课程内容、课程教学活动、教学评价等方面持续改进，从而促进 课程与当下先进技术与时俱进，提升教学效果与人才培养质量。

关键词: 生成式人工智能；DeepSeek；汽车理论