AI赋能高职院校内部质量保障体系研究述评

A Review of Research on AI-Empowered Internal Quality Assurance Systems in Higher Vocational Colleges

摘要: 人工智能技术正深刻影响着高等职业教育，高职院校内部质量保障体系智能化转型已成为研究焦点。本文从发展脉络、主要维度、现实困境与应对策略等方面，系统梳理了AI赋能高职院校内部质量保障体系的研究进展，发现：AI技术在教学质量评价智能化、教学监测过程化、内部治理体系重构等维度取得显著进展，仍面临基础投入不足、制度规范缺失、数据伦理风险及教师素养欠缺等现实挑战。未来研究应加强实证检验、构建系统性框架、深化伦理治理研究并拓展特色化应用场景，推动高职教育质量保障“智能化”发展。

Abstract: The rapid development of artificial intelligence technology provides new momentum for the intelligent transformation of internal quality assurance systems in higher vocational colleges. This paper systematically reviews the research progress on AI‑empowered internal quality assurance systems in higher vocational colleges, covering developmental trajectories, major dimensions, practical dilemmas, and coping strategies. The review reveals that AI technology has achieved notable progress in areas such as intelligent teaching quality evaluation, process‑oriented teaching monitoring, and reconstruction of internal governance systems. However, challenges remain, including insufficient infrastructure investment, lack of institutional frameworks, data ethics risks, and inadequate teacher digital literacy. Future research should strengthen empirical verification, build systematic frameworks, deepen ethical governance studies, and expand application scenarios tailored to vocational characteristics, so as to facilitate the fundamental leap of quality assurance in higher vocational education from “digitalization” to “intelligentization.”