主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2026, Vol. 51 ›› Issue (9): 85-89.DOI: 10.16638/j.cnki.1671-7988.2026.009.016

• 汽车教育 • 上一篇    

AI 赋能汽车制造工艺学课程教学创新实践

杨洪刚   

  1. 上海电机学院 机械学院
  • 发布日期:2026-05-09
  • 通讯作者: 杨洪刚
  • 作者简介:杨洪刚（1979－），男，博士，副教授，研究方向为车身制造工艺与仿真分析技术
  • 基金资助:
    2024 年度上海市重点课程建设项目（A1-0224-25-002-02-028）；2024 年度上海电机学院课程思政示范课 程项目（A1-0224-24-002-02-091-2024）；2025 年度上海电机学院项目化教学改革项目（A1-0224-25-002- 03-002-2025）

AI-Empowered Innovative Teaching Practice in the Course of Automobile Manufacturing Technology

YANG Honggang   

  1. Institute of Mechanical, Shanghai Dianji University
  • Published:2026-05-09
  • Contact: YANG Honggang

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摘要： 随着人工智能（AI）技术的广泛应用，知识图谱赋能高等教育已成为教育数字化的新 形态。文章基于知识图谱，开展 AI 赋能汽车制造工艺学课程建设与教学实践。聚焦汽车智能 制造和制造质量智能检测技术，充实完善课程教学内容，梳理教学知识点，搭建关系网络， 配备习题库资源，结合 AI 智能助教，通过图谱式知识点、课程思政融合点、线上线下融合点 等，构建课前预习智能助学、课中学习智能助管、课后复习智能助研的 AI 课程体系。为学生 搭建自主学习路径，提供定制化学习方案，提升课程教学成效，促进学生掌握汽车制造工艺， 为培养新时代工匠型人才奠定基础。

关键词: 人工智能；知识图谱；汽车制造工艺

Abstract: With the widespread application of artificial intelligence (AI) technology, knowledge graph empowering higher education has become a new form of educational digitization. Based on the knowledge graph, this article explores the construction and teaching practice of the Automobile Manufacturing Technology course empowered by AI. It focuses on intelligent manufacturing and intelligent quality inspection technology for automobiles, enriches and improves the course content, organizes teaching knowledge points, builds a relational network, provides exercise library resources, and combines AI intelligent teaching assistants. Through the integration of graph-based knowledge points, ideological and political integration points in the course, and online and offline integration points, an AI course system is constructed, which provides intelligent assistance for pre-class preview, intelligent management during class, and intelligent research after class. This system builds an autonomous learning path for students, provides customized learning plans, enhances the effectiveness of course teaching, promotes students' mastery of automobile manufacturing technology, and lays the foundation for cultivating craftsman talents in the new era.

Key words: artificial intelligence; knowledge graph; automobile manufacturing technology