AI & Data Competencies: Scaffolding holistic AI literacy in Higher Education

TL;DR

This paper presents the AI & Data Acumen Learning Outcomes Framework, a structured tool to integrate comprehensive AI literacy into higher education curricula, emphasizing technical, ethical, and sociocultural competencies.

Contribution

It introduces a novel, collaboratively developed framework that defines AI and data competencies across levels and knowledge dimensions for higher education.

Findings

Framework covers four proficiency levels and seven knowledge dimensions.

Provides practical strategies for curriculum integration and assessment.

Addresses challenges and future directions in AI education.

Abstract

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.