关键词: 数智+新工科；知识图谱；多元评价；数据驱动；项目驱动

Abstract: To address the issues of fragmented curriculum systems, insufficient utilization of digital resources, and single-dimensional teaching evaluation in automotive engineering education, this paper, guided by the technical demands of the intelligent new energy vehicle industry and centered on the "digital intelligence+new engineering" education concept, constructs a three-layer progressive digital-intelligence teaching reform framework of content-resources-model". Firstly, the "three-core and four-wing" approach is used to reconstruct the teaching content of the course cluster, forming a four-in-one intelligent graph integrating"knowledge-objectives-problems-ideological political education". Secondly, the "three-modernization and four-nature" strategy is asdopted to upgrade teaching resources, achieving precise mapping of digital resources. Based on these, the "threeintegration and two-drive" digital-intelligence teaching model is established to shift teaching from experience-driven to data-driven approaches. The teaching reform practice shows that after two years of continuous reform, student satisfaction with professional courses increased by 5%, the average score of the reformed class in specialized courses is 14.6% higher than that of the ordinary class, and scores in graduate entrance examination subjects increased by 10.2%. In the past two years, students have won more than 20 national and provincial awards in competitions such as the "Internet+", and the formula racing team has won the national second prize for three consecutive years, with significant improvements in students' innovation ability and awareness. The quantifiable and traceable teaching quality feedback loop formed in this study provides a replicable technical path and practical paradigm for the digital-intelligence transformation of engineering education.

Key words: digital intelligence+new engineering; mapping knowledge domain; multiple evaluation; data-driven; project-driven