Digital transformation in higher education : artificial intelligence tools, pedagogical practice, and data literacy development

Abstract

This paper investigates how AI tools influence data literacy and pedagogical practices in global higher education contexts. It presents findings from a global workshop that examined the role of AI in academic instruction, synthesizing empirical insights from educators and researchers in China, South Africa, the United States, and Europe. Through an explorative qualitative approach, this study clusters expert insights into key areas: AI-enhanced pedagogical frameworks, good practice examples, student engagement strategies, and ethical considerations. The findings emphasize concrete applications of AI in curriculum development, institutional challenges, and the necessary policy frameworks for the adoption of responsible AI in higher education.