关键词: 人工智能；新能源汽车工程；专业基础课；智慧评价

Abstract: This paper delves into the innovative application of artificial intelligence in foundational professional courses. Taking the Fundamentals of Control Engineering course within the new energy vehicle engineering program as an example, we developes a learning data-driven intelligent teaching system. This system aims to enhance students' ability to solve practical vehicle engineering problems. The designed intelligent teaching system achieves deep integration of educational resources and multi-dimensional analysis of student learning data. It supports collaborative online-offline multimodal learning, real-time intelligent teaching evaluations, and the generation of personalized learning paths based on individual learning profiles. Through detailed case studies and empirical data, this research validates the effectiveness of the proposed solution in significantly boosting student learning interest, optimizing teaching outcomes, empowering autonomous student learning, and improving their ability to solve real-world engineering problems. This work offers a replicable and scalable paradigm for the intelligent teaching reform of other foundational professional courses.

Key words: artificial intelligence; new energy vehicle engineering; professional foundational courses; intelligent evaluation