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

摘要： 文章深入探讨人工智能在专业基础课程教学中的创新应用，以新能源汽车工程专业开 设的控制工程基础课程为例，构建了学习数据驱动的智能化教学体系，旨在提升学生解决车 辆实际工程问题的能力。所设计的智能教学系统实现了教学资源的深度整合与学生学习数 据的多维度分析，支持线上线下协同的多模式学习、实时智慧教学评价，并基于个体学习画 像生成个性化学习路径。通过详实的案例分析与实践数据，验证了所提方案在显升学生学习 兴趣、优化教学效果、赋能学生自主学习以及解决实际工程问题方面的有效性，为其他专业 基础课程的智能化教学改革提供了可复制、可推广的范式。

关键词: 人工智能；新能源汽车工程；专业基础课；智慧评价