欢迎访问《昆明冶金职业大学学报》,

昆明冶金高等专科学校学报 ›› 2025, Vol. 41 ›› Issue (05): 108-.DOI: 10.3969/j.issn.1009-0479.2025.05.017

• 专业建设与课程改革 • 上一篇    下一篇

人工智能赋能高职冶金技术专业教学的探索及实践

  

  1. 昆明冶金高等专科学校 a.冶金与矿业学院;b.招生就业中心;c.环境与化工学院 65030
  • 出版日期:2025-10-01 发布日期:2026-03-27
  • 作者简介:刘振楠 (1986-),男,吉林通化人,副教授,工学硕士,主要从事冶金熔体热力学研究、冶金技术专业教学研究。
  • 基金资助:
    国家职业教育专业教学资源库建设项目 “有色冶金技术” (2019-76,YSYJ2020-01-21);云南省教育厅 科学研究基金项目 “人工智能赋能高等职业教育冶金技术专业教学的研究”(2025J1414)。

Exploration and Practice of Integrating Artificial Intelligence into HigherVocational Metallurgical Technology Education

  1. a. Faculty of Metallurgy and Mining Engineering; b. Enrollment and Employment Center;c. Faculty of Environment and Chemical Engineering; Kunming Metallurgy College, Kunming 650033, China
  • Online:2025-10-01 Published:2026-03-27

摘要: 人工智能技术作为教育创新的核心驱动力,在职业教育中展示出巨大潜力。探讨了人工智能技术在高 职冶金技术专业教学中的应用与实践。通过分析职业教育的现状、人工智能与职业教育的契合性以及人工智能 赋能职业教育存在的典型问题,阐明了人工智能技术对于提升职业教育教学质量、优化学习体验的重要意义。 以冶金技术专业为例,分析了人工智能在该专业教学中的应用案例;探讨了人工智能赋能冶金技术专业实训教 学的可能性与挑战,并提出了相应的实现途径和保障措施。实践表明,人工智能技术的引入不仅为冶金技术专 业教学带来了新的机遇,还为职业教育的数字化转型创新了路径。

关键词: 人工智能, 职业教育, 冶金技术专业, 教学, 实训

Abstract: Artificial intelligence (Al) technology, as a core driving force for educational innovation, hasshown immense potential in vocational education. This paper explores the application and practice of Altechnology in the teaching of Metallurgical Technology in higher vocational education. By analyzing the cur-rent state of vocational education, the compatibility of AI with vocational education, and the typical chal-lenges arising from the integration of AI into vocational education, the paper highlights the significance ofAI in enhancing the quality of vocational education and optimizing the leaming experience. Using the Met-allurgical Technology major as a case study, the paper examines AI application examples in the teaching ofthis discipline. It further discusses the possibilities and challenges of Al-enhanced practical training in theMetallurgical Technology major and proposes implementation strategies and safeguard measures. The prac-tice shows that the introduction of AI technology not only brings new opportunities to Metallurgical Technol-ogy education but also provides innovative paths for the digital transformation of vocational education.

Key words: artificial intelligence, vocational education, metallurgical technology major, practical training teaching,