中国职业技术教育

新一代人工智能成为职业教育变革的重要驱动力。通过全球职业教育领域生成式人工智能应用案例的考察，归纳该技术在职业教育领域的五大典型应用场景，包括智能文本处理与沟通升级、医疗诊断与个性化护理、编程教育与应用程序开发、图像处理与产品设计以及学生表现反馈与数据驱动决策。新一代人工智能技术革新附带的外驱“压力大”与教学变革的内驱“张力弱”导致风险问题丛生，涵盖技术失业与技能转型新需求、教学体系与教学结构转型新变革、伦理与情感风险新要求、数据隐私与安全问题新挑战等方面。面对计算智能、感知智能乃至认知智能的持续演进态势下，应呼吁全球共商、企业共建、政府共治、职业院校共创的智能教育新生态，以助推我国职业教育提质增效。

The new generation of artificial intelligence has become a significant driving force in the transformation of vocational education. Through the examination of global application cases of generative artificial intelligence in global vocational education, five typical application scenarios of this technology in vocational education are summarized, including intelligent text processing and communication upgrade, medical diagnosis and individual nursing, programming education and application development, image processing and product design, as well as student performance feedback and data-driven decision-making. The external pressure brought by the technological innovation of the new generation of artificial intelligence and the weak internal tension for teaching reform has led to a multitude of risk issues, which encompass new demands for technological unemployment and skill transformation, new changes in the transformation of teaching systems and structures, new requirements for ethical and emotional risks, and new challenges in data privacy and security issues. In the face of the ongoing evolution of computational intelligence, perceptual intelligence, and cognitive intelligence, it should call for a new ecosystem of intelligent education that involves global consultation, corporate co-construction, government co-governance, and vocational institution co-creation, to boost the quality and efficiency of vocational education in China.