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 (13): 113-119.DOI: 10.16638/j.cnki.1671-7988.2026.013.021

• 汽车教育 • 上一篇    

基于人工智能赋能的应用型本科机械大类 学科交叉融合人才培养模式研究

王鑫，赵坤，吴玲，王鹏，燕姣   

  1. 西安航空学院 航空制造与车辆工程学院
  • 发布日期:2026-07-06
  • 通讯作者: 王鑫
  • 作者简介:王鑫（1984－），男，硕士，副教授，研究方向为新能源汽车无线充电技术
  • 基金资助:
    人工智能赋能的应用型本科机械大类学科交叉融合人才培养模式研究——西安航空学院校级高等教育科学 研究项目项目（2024GJ1012）；基于知识图谱与 AI 技术的汽车仿真课程教学模式创新研究——西安航空学 院校级高等教育科学研究项目项目（2024GJ1022）

Research on the cross-disciplinary integration talent training model of applied undergraduate mechanical discipline based on artificial intelligence empowerment

WANG Xin, ZHAO Kun, WU Ling, WANG Peng, YAN Jiao   

  1. School of Aeronautical Manufacturing and Vehicle Engineering, XIHANG University
  • Published:2026-07-06
  • Contact: WANG Xin

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摘要： 随着新一轮科技革命和产业变革的深入推进，机械工程领域正朝着智能化、集成化方 向快速转型。然而，当前应用型本科机械大类人才培养仍存在学科壁垒明显、课程体系与产 业需求脱节、人工智能技术融入不足等问题，难以满足智能制造背景下的人才培养要求。文 章以应用型本科机械大类学科为研究对象，聚焦人工智能赋能与学科交叉融合两大核心维度， 通过优化专业课程结构，优化师资团队配置，重构人才培养评价体系，开展交叉融合学科办 学创新探索。最终通过以西安航空学院机器人工程和新能源汽车工程专业为试点应用，该培 养模式有效打破了传统学科界限，显著提升了学生的跨学科应用能力与智能制造实践能力。

关键词: 应用型本科；机械大类学科；人工智能；学科交叉融合

Abstract: With the deepening of a new round of technological revolution and industrial transformation, the field of mechanical engineering is rapidly transforming towards intelligence and integration. However, in the current cultivation of applied undergraduate mechanical talents，there are still obvious disciplinary barriers, a disconnect between the curriculum system and industry demand, and insufficient integration of artificial intelligence technology, which makes it difficult to meet the requirements of talent cultivation in the context of intelligent manufacturing. This article takes the applied undergraduate mechanical discipline as the research object, focusing on the two core dimensions of artificial intelligence empowerment and interdisciplinary integration. By optimizing the structure of professional courses, optimizing the allocation of teaching staff, reconstructing the talent cultivation evaluation system, and exploring innovative interdisciplinary education, this article aims to explore the integration of disciplines. Finally, through the pilot application of the Robotics Engineering and New Energy Vehicle Engineering majors at XIHANG University, this training model effectively breaks the traditional disciplinary boundaries and significantly enhances students' interdisciplinary application ability and intelligent manufacturing practical ability.

Key words: applied undergraduate; mechanical discipline; artificial intelligence; interdisciplinary integration