| 1,977 | 6 | 436 |
| 下载次数 | 被引频次 | 阅读次数 |
人工智能为职业教育发展带来巨大机遇的同时，也给劳动市场结构与就业形态带来了深刻变革，引发职业技能人才的核心素养变化，导致职业教育在智能时代的人才培养中面临诸多挑战。人工智能技术在推动专业建设、加速产教深度融合、赋能课程与数字资源、创新实习实训发展、完善评价体系等场景中具有巨大优势，可助力职业教育向精准化、智能化方向发展。职业院校应运用数字教学法，通过打造绿色鲁棒的数字学习环境、实施循证导向的教学实践、引导技术赋能的实习实训、开展人机互信的协同教育等手段，提升智能时代职业教育人才培养与社会需求的契合度。
Abstract：Artificial intelligence has brought tremendous opportunities for the development of vocational education, but it has also brought profound changes to the structure of the labor market and employment forms, triggering changes in the core competencies of vocational skilled talents, and leading to many challenges for vocational education in talent cultivation in the era of intelligence. Artificial intelligence technology has enormous advantages in promoting professional construction, accelerating the deep integration of industry and education, empowering courses and digital resources, innovating internship and training development, and improving evaluation systems. It can help vocational education develop towards precision and intelligence. Vocational colleges should use digital teaching methods, such as creating a green and robust digital learning environment, implementing evidence-based teaching practices, guiding technology enabled internships and training, and conducting collaborative education based on human-machine trust, to enhance the alignment between vocational education talent cultivation in the intelligent era and social needs.
[1]董文娟，黄尧.人工智能背景下职业教育变革及模式建构[J].中国电化教育，2019(7):1-7+45.
[2]OECD.Artificial Intelligence and the Future of Skills[EB/OL].(2021-11-18)[2025-09-24].https://www.oecd.org/en/about/projects/artificial-intelligence-and-future-of-skills.html.
[3]OECD.OECD Employment Outlook 2023[EB/OL].(2023-07-11)[2025-09-24].https://www.oecd.org/en/publications/oecd-employment-outlook-2023_08785bba-en.html.
[4]OECD.Job Creation and Local Economic Development 2024:The Geography of Generative AI[EB/OL].(2024-11-28)[2025-09-24].https://www.oecd.org/en/publications/job-creation-and-local-economic-development-2024_83325127-en.html.
[5]OECD.The Impact of AI on the Workplace:Main Findings from the OECD AI Surveys[EB/OL].(2023-03-27)[2025-09-24].https://www.oecd.org/en/publications/the-impact-of-ai-on-the-workplace-main-findings-from-the-oecd-ai-surveys-of-employers-andworkers_ea0a0fe1-en.html.
[6]秦国锋，劳晶晶，陈健健，等.职业教育数字化课程的内涵价值、实践困境与推进策略[J].职教论坛，2024,40(6):62-69.
[7]姚岚，谭维智.数字化转型视域下技术创新人才培养:诉求、困境与变革[J].高等工程教育研究，2023(1):142-147.
[8]陈淑维.人工智能时代高职教师教学发展的现实挑战与路向选择[J].职业技术教育，2024,45(35):56-60.
[9]缪玲，曾祥跃，张新成.人工智能赋能职业院校产教融合人才培养的应用研究[J].职教论坛，2025,41(2):28-35.
[10]吴秋晨，李佳敏，徐国庆.生成式人工智能背景下高职院校人才培养评价体系的技术特征、风险挑战与应对措施[J].教育与职业，2024(14):37-42.
[11]张如凯，吴泽亮，蒋瑛珺.人工智能赋能职业教育改革探索与实践[J].中国教育技术装备，2025(2):43-45+49.
[12]张伟远，谢青松，许玲，等.人工智能赋能职业教育4.0发展：内涵、场景及策略[J].职教论坛，2025,41(2):20-27.
[13]黄荣怀，虎莹，刘梦彧，等.迈向数字时代教学变革的基本理论：数字教学法[J].电化教育研究，2024,45(6):14-22+33.
[14]王悦晓，郝天聪.生成式人工智能赋能职业教育变革：挑战与现实路径[J].教育与职业，2025(4):14-20.
[15]韩锡斌，李米雪，郭文欣.以数字化战略赋能职业教育的新突破——2024年职业教育数字化研究与实践新进展[J].中国职业技术教育，2025(2):39-48+75.
基本信息:
中图分类号:G712;G434
引用信息:
[1]王嫱,肖瑞雪,刘梦彧,等.应对人工智能赋能职业教育数字化转型：数字教学法的探索与实践路径[J].中国职业技术教育,2025,No.924(20):88-95.
基金信息:
科学技术部高技术研究发展中心“学习环境设计、评测与集成构建技术及应用示范”（项目编号：2022ZD0115905,主持人：刘德建）
2025-10-20
2025-10-20