Skip to Main Content

AI and Teaching and Learning

This guide is a detailed overview of AI literacy that addresses technical, ethical, critical, and societal dimensions of AI in education in our current AI-embedded world.

Ai Teaching and Learning - Suggested Readings

The list of books (all available online) appearing on this page (and listed in our USC Libraries Catalog) is offered simply as a minuscule exemplar of the current trends in AI teaching. Searches in the Research Databases listed in this Guide should yield a substantial amount of information and research results for both teaching and research on AI Teaching. 

Pratschke, B. Mairead (2024).  Generative AI and Education : Digital Pedagogies, Teaching Innovation and Learning Design. Available Online.  Springer.   This volume addresses the gap in knowledge around generative AI and its applications in education. It draws on the recent history of technological innovation and digital pedagogies, locating generative AI in the contemporary discourse around education futures. It argues that a new hybrid model of education is emerging, requiring educational institutions to embed generative AI into course and programme design, delivery and assessment. It also proposes a shift from a focus on learning as output to learning as a process, and explores what that shift might look like. Grounded in educational theory, it offers actionable pedagogy-informed guidance on how to position AI as a collaborator in the construction of learning in a manner that is congruent with the values and aims of education. It offers advice based on evidence-based digital pedagogy, including frameworks for effective teaching and learning with generative AI, that enable educators and designers to put these ideas into practice.