创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (3): 87-89.

• 教育改革与发展 • 上一篇    下一篇

人工智能背景下师资队伍对于机械类学生技能培养的影响

王荔檬, 杨铨, 赵莹莹   

  1. 广西工业职业技术学院,广西南宁 530001
  • 出版日期:2025-02-10 发布日期:2025-03-31
  • 通讯作者: 杨铨(1981—),男,广西来宾人,硕士研究生,教授,研究方向:控制工程,电子邮箱:34041774@qq.com。
  • 作者简介:王荔檬(1985—),女,黑龙江齐齐哈尔人,博士研究生,副教授,高级工程师,研究方向:机械设计、自动化控制、机电一体化设备、智能制造。
  • 基金资助:
    广西教育科学“十四五”规划2022年度专项课题“1+X证书制度试点师资队伍建设路径研究”(2022ZJY2229)

Analysis of the Impact of Faculty Teams on Mechanical Engineering Student Skill Training in the Context of Artificial Intelligence

WANG Limeng, YANG Quan, ZHAO Yingying   

  1. Guangxi Vocational & Technical Institute of Industry, Nanning Guangxi, 530001, China
  • Online:2025-02-10 Published:2025-03-31

摘要: 在人工智能技术快速发展的背景下,机械类师资队伍的构成和教育模式正在经历重要变革。该文基于实践经验和相关研究分析了师资队伍的构成和现状,通过进一步分析获悉:师资队伍通过结构多样性与专业广泛性、教学理念与方法的现代化、跨学科合作与研究对机械类学生技能培养产生了影响,在此基础上,提出了机械类师资队伍的优化策略。这些策略的实施不仅可以优化师资队伍的结构,也能够显著提升学生的学习技能。

关键词: 人工智能, 机械类, 师资队伍, 跨学科, 学生技能培养, 职业

Abstract: In the context of rapid development of artificial intelligence technology, the composition and educational models of mechanical engineering faculty teams are undergoing significant transformations. Based on practical experience and relevant research analysis of faculty composition and current status, further analysis indicates that faculty teams influence the skill training of mechanical engineering students through diversity in structure and breadth of expertise, modernization of teaching philosophies and methods and interdisciplinary cooperation and research. On this basis, strategies for optimizing mechanical engineering faculty teams are proposed. The implementation of these strategies not only optimizes the structure of the faculty teams but also significantly enhances the students'learning skills.

Key words: Artificial Intelligence, Mechanical engineering, Faculty teams, Interdisciplinary, Student skill training, Career

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