首页|期刊导航|继续教育研究|产教融合视域下职业教育生成式人工智能治理:风险调适与人机协同

产教融合视域下职业教育生成式人工智能治理:风险调适与人机协同OACHSSCD

GenAI Governance in Vocational Education from the Perspective of Industry-Education Integration:Risk Calibration and Human-AI Collaboration

中文摘要英文摘要

生成式人工智能技术正深刻重塑职业教育生态,给产教融合情境下的个性化学习与技能训练带来巨大潜能.如何有效治理其伴生的技术、教育、伦理等多维耦合风险,在拥抱技术红利的同时,实现"风险调适",已成为职业教育界亟待解决的关键议题.立足产教融合视角,引入"技术-组织-环境"分析框架,构建"角色定位-决策控制-问责归属"的人机协同三原则,探索从组织内部制度设计到政府、学校、企业三方协同的多层次治理体系,提出治理的关键在于实现从"约束型"规制向"使能型"风险调适的范式转型,通过激活多元主体的适应能力,最终在人机协同中实现技术的安全应用与创新赋能.

Generative artificial intelligence(GenAI)is profoundly reshaping the vocational education ecosystem,offering immense potential for per-sonalized learning and skills training within the context of industry-education integration.However,it has become a critical issue in vocational education to effectively govern the attendant multi-dimensional coupled risks in terms of technical,educational,and ethical domains while embracing technological dividends through"risk calibration".From the perspective of industry-education integration,this study adopts the Technology-Organization-Environment(TOE)analytical framework and proposes three principles for human-AI collaboration:role positioning,decision-making control,and accountability at-tribution.It explores a multi-level governance system that extends from internal institutional design to tripartite collaboration among government,schools,and enterprises.The study posits that the key to governance lies in a paradigm shift from"constraint-based"regulation to an"enabling-oriented"risk calibration.This transition aims to achieve the safe application and innovative empowerment of technology through human-AI collaboration by activating the adaptive capacities of multiple stakeholders.

金浏河;易梦伊;胡潇引

温州职业技术学院数字经贸学院,浙江温州 325035温州职业技术学院产教融合处,浙江温州 325035温州职业技术学院数字经贸学院,浙江温州 325035

社会科学

职业教育生成式人工智能风险调适

Vocational educationGenerative artificial intelligence(GenAI)Risk calibration

《继续教育研究》 2026 (7)

57-63,7

教育部职业教育发展中心2024年职业教育教研教改课题"数字化转型视域下高职学生信息茧房——数字孤独双维解困及协同干预机制研究"(编号:JZJG25173).

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