Reframing Higher Education with Responsible Generative AI Use: Practical Strategies for Teaching, Assessment and Policy (en Inglés) - Elena Patera

The book volume Reframing Higher Education with Responsible Generative AI Use: Practical Strategies for Teaching, Assessment and Policy provides practical, ethical and inclusive strategies for integrating generative artificial intelligence (GenAI) in higher education.

The book is structured around three main themes: teaching, assessment and policy. The chapters feature pedagogical frameworks, and practical toolkits supporting prompt-engineering and scalable, AI-driven innovations in teaching, learning and assessment. These include virtual patients and clinical simulations augmented by GenAI tools, assessment redesign using AI tools, and the use of AI to automate daily teaching, research and admin tasks with AI in support of faculty development and curriculum transformation. Drawing on a mix of conceptual and applied experience, aligned with institutional policies, the examples discussed throughout the chapters highlight the importance of digital equity, AI literacy, including the ethical, responsible and transparent use of GenAI.

The book volume offers a hands‑on guide for educators,students, assessors, researchers, academic developers, institutional leaders and policymakers across disciplines and institutional contexts seeking to navigate the fast‑changing academic landscape shaped by evolving large language models.