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.

翻译：本章介绍了人工智能与数据素养学习成果框架，这是一个旨在指导高等教育中人工智能素养整合的综合性工具。该框架通过协作过程开发而成，定义了四个熟练度等级和七个知识维度中与人工智能及数据相关的核心能力。它为教育工作者提供了一种结构化方法，以搭建学生在人工智能领域的学习脚手架，平衡技术技能与伦理考量及社会文化意识。本章概述了框架的开发过程、结构以及在课程设计、学习活动和评估中的实施策略。我们探讨了实施过程中的挑战以及人工智能教育的未来方向。通过提供培养学生整体人工智能素养的路线图，该框架帮助学习者做好准备，在学术与职业环境中有效利用生成式人工智能的能力。