首页|基于大数据驱动的高职专业认证研究

基于大数据驱动的高职专业认证研究

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高职专业认证事关高职教育的高质量发展全局,是助推职业教育内涵式发展的重要抓手.大数据技术中的多源数据融合技术、智能推荐算法技术、数据计算技术与高职专业认证的数据获取、体系完善、结果反馈及应用具有极大的联系性,满足高职专业认证客观化、精准化和科学化发展的现实需要.但大数据技术驱动高职专业认证可能引发伦理性问题、主体性困境和失真性风险三大问题.为此,应建立智能认证规章制度,规范认证行为;多元创新专业认证观念,校正认证方向;增强技术赋能的适切性,提升认证效能.
Research on Big Data-driven Accreditation of Higher Vocational Education Programs
The accreditation of higher vocational education programs is related to the overall high-quality development of higher vocational education and it is an important lever to promote the connotative development of vocational education.The multi-source fusion technology,intelligent recommendation algorithm technology and data computing technology in big data technology are closely related to the data ac-quisition,system improvement and result feedback and application of accreditation of higher vocational education programs,which meets the practical needs of the objective,accurate and scientific development of accreditation of higher vocational education programs.However,big data technology driving accreditation of higher vocational education programs may lead to three major issues:ethical issues,subjectiv-ity dilemma and distortion risk.Therefore,intelligent accreditation regulations should be established to standardize certification behavior;diversified innovative accreditation concepts are needcled to correct accreditation directions;the appropriateness of technological empow-erment should be enhanced to improver the efficiency of the accreditation.

accreditation of higher vocational education programsbig data technologyaccreditation validitytechnical limitationsethical risks

石汉卿、郭丽君

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湖南农业大学 湖南 长沙 410128

高职专业认证 大数据技术 认证效度 技术限度 伦理性风险

国家社会科学基金(教育学)一般项目(2022)湖南省研究生科研创新项目

BIA220062CX20230680

2024

职业教育研究
天津职业技术师范大学

职业教育研究

CHSSCD
影响因子:0.562
ISSN:1672-5727
年,卷(期):2024.(5)
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