生成式人工智能赋能高职学生学习的潜在风险及其治理  

Potential Risks and Governance of Generative Artificial Intelligence Empowering Vocational College Students' Learning

作　　者：平泽丽 陈倩 PING Zeli;CHEN Qian(Jincheng Institute of Technology,Jincheng,Shanxi 048000,China)

机构地区：[1]晋城职业技术学院,山西晋城048000

出　　处：《晋城职业技术学院学报》2025年第2期15-18,共4页Journal of Jincheng Institute of Technology

基　　金：山西省高等学校哲学社会科学研究项目(思想政治教育专项)课题《大思政课视域下AI赋能高职院校思政课研究——以“思想道德与法治课”为例》(项目编号:2024zsszsx200)。

摘　　要：通过某高职院校师生问卷调查(教师样本55份,学生样本2562份),分析生成式人工智能在高职学生学习中的潜在风险,包括技术依赖性导致的职业能力弱化、数据隐私泄露、教育生态异化及学术诚信问题。结合职业教育实践与伦理需求,提出多维协同风险治理路径:提升教师信息素养以优化教学设计,强化学生思想教育以抵御技术依赖,构建政府与学校联动的规范评价体系,以及推动企业开发负责任的人工智能产品,以期为高职教育中生成式人工智能的风险防控与合理应用提供参考。Through a questionnaire survey of teachers and students in a vocational college(55 teacher samples and 2562 student samples),potential risks of generative artificial intelligence in vocational college students' learning were analyzed,including weakened professional abilities caused by technological dependence,data privacy breaches,educational ecological alienation,and academic integrity issues.Based on vocational education practice and ethical needs,a multidimensional collaborative risk governance path is proposed:enhancing teachers' information literacy to optimize the teaching design,strengthening students' ideological education to resist technological dependence,constructing a standardized evaluation system for government school linkage,and promoting the development of responsible artificial intelligence products by enterprises.The research provides reference for risk prevention and rational application of generative artificial intelligence in higher vocational education.

关 键 词：生成式人工智能 高职教育 风险治理 

分 类 号：G712[文化科学—职业技术教育学]