构建七维AI素养模型，助力高校系统推进AI教育
The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education
- 提出包含技术、应用、批判思维等七维度的AI素养框架
- 通过2021-2024年文献分析提炼出可落地的教育实践路径
- 适合高校课程设计者与AI教育政策制定者参考
本综述研究通过分析2021至2024年的相关文献，探讨高等教育中人工智能素养（AIL）的概念化与实施。研究聚焦三方面：一是厘清当前研究中AIL的定义及其与数据素养、媒介素养、计算素养等概念的边界；二是将多种定义整合为一个综合性的操作性定义；三是推动科学洞见向教学实践的有效转化。分析识别出AIL的七个核心维度：技术、应用、批判思维、伦理、社会、整合与法律，并将其统合为AI素养七边形模型，深化理论理解，支持高等教育中AIL的结构化发展。研究旨在弥合理论概念与课程实践之间的鸿沟。
原文摘要 · Abstract (English)
The integrative literature review addresses the conceptualization and implementation of AI Literacy (AIL) in Higher Education (HE) by examining recent research literature. Through an analysis of publications (2021-2024), we explore (1) how AIL is defined and conceptualized in current research, particularly in HE, and how it can be delineated from related concepts such as Data Literacy, Media Literacy, and Computational Literacy; (2) how various definitions can be synthesized into a comprehensive working definition, and (3) how scientific insights can be effectively translated into educational practice. Our analysis identifies seven central dimensions of AIL: technical, applicational, critical thinking, ethical, social, integrational, and legal. These are synthesized in the AI Literacy Heptagon, deepening conceptual understanding and supporting the structured development of AIL in HE. The study aims to bridge the gap between theoretical AIL conceptualizations and the practical implementation in academic curricula.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。