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人工智能技术赋能高职教育质量评价的优势、局限与未来发展

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高职教育质量评价事关高职教育的高质量发展和高素质技术技能人才培养任务的落实,是职业教育发展的核心和职业学校的生命线.智能感知、智能计算和智能交互技术与高职教育质量评价的数据采集、体系完善和反馈应用具有内在联系,满足高职教育质量评价的客观化、适应性和专业化发展的现实需要.但人工智能技术赋能高职教育质量评价可能引发主体性困境、客观性问题和伦理性风险三大问题.未来应多维创新质量评价观念,校准评价方向;增强智能评价技术的应用性,提高评价效度;加强智能技术评价的制度保障,规范评价行为.
The Advantages,Limitations and Future Development of the Quality Evaluation of Higher Vocational Education Enabled by Artificial Intelligence Technology
The assessment of quality in higher vocational education is integral to the advancement of educational excellence and the fulfillment of the mandate to cultivate high-caliber technical professionals.It constitutes the centerpiece of vocational educational development and the vital artery of vocational institutions.Technologies such as intelligent perception,intelligent computing,and intelligent interaction are inherently linked to the processes of data gathering,system enhancement,and feedback integration within the quality evaluation framework of higher vocational education.These technologies have the potential to address the contemporary demands for objectivity,adaptability,and specialized progress in the evaluation of higher vocational education.Nevertheless,the integration of artificial intelligence into the quality evaluation of higher vocational education may give rise to significant challenges,including issues of subjectivity,objectivity,and ethical considerations.Moving forward,it is imperative to innovate across multiple dimensions of the quality evaluation paradigm and to recalibrate the orientation of evaluations.This entails enhancing the application of intelligent evaluation technologies to augment evaluation validity and strengthening the systemic safeguards of intelligent technology evaluations to normalize evaluation practices.

Quality Evaluation of Higher Vocational EducationArtificial Intelligence TechnologyTechnical LimitsEthical Risk

易佳、郭丽君

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湖南农业大学,湖南长沙 410128

湖南省高职专业认证委员会,湖南长沙 410128

高职教育质量评价 人工智能技术 技术限度 伦理性风险

2024

中国农业教育
南京农业大学

中国农业教育

CHSSCD
影响因子:0.521
ISSN:1009-1173
年,卷(期):2024.25(2)