构建高校AI素养框架，融合技术与伦理教育
AI & Data Competencies: Scaffolding holistic AI literacy in Higher Education
- 分四阶七维度定义AI与数据能力标准
- 提供可落地的课程设计与评估策略
- 适合教育者推进AI通识教育
本文介绍AI与数据素养学习成果框架，旨在指导高等教育中AI素养的整合。该框架通过协作开发，定义了四个能力层级和七个知识维度，涵盖技术、伦理及社会文化意识。为教师提供结构化路径，支持学生在学习中逐步掌握生成式AI应用能力，平衡技术技能与社会责任。文中阐述了框架的构建过程、结构特点及在课程设计、教学活动和评估中的实施策略，并讨论了当前挑战与未来方向。该框架为培养学生的全方面AI素养提供了路线图，使其能在学术与职业场景中有效运用生成式AI。
原文摘要 · Abstract (English)
This chapter introduces the AI & Data Acumen Learning Outcomes Framework, a comprehensive tool designed to guide the integration of AI literacy across higher education. Developed through a collaborative process, the framework defines key AI and data-related competencies across four proficiency levels and seven knowledge dimensions. It provides a structured approach for educators to scaffold student learning in AI, balancing technical skills with ethical considerations and sociocultural awareness. The chapter outlines the framework's development process, its structure, and practical strategies for implementation in curriculum design, learning activities, and assessment. We address challenges in implementation and future directions for AI education. By offering a roadmap for developing students' holistic AI literacy, this framework prepares learners to leverage generative AI capabilities in both academic and professional contexts.
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