“As a University teacher, and a scholar deeply interested in how students learn and how we assess that process, this edited volume speaks deeply to me. This collection comes at a critical moment of change, confusion, and innovation in the context of emerging GenAI and radical alterations to the dynamics of student learning. The chapters in this volume offer critical analyses of, and substantive insights into, both the core challenges that GenAI brings and the possibilities for assessment and pedagogy in the contemporary higher education landscape. By bringing together conceptual foundations, empirical research, and future possibilities this book offers substantive assistance as instructors reimagine analytics and practice around assessment and pedagogy. The ideas, details, practices in this text provide a helpful roadmap for navigating towards pedagogically sound assessment in an AI-influenced and AI-integrated present and future.” Agustín Fuentes, Professor of Anthropology, Princeton University “In a field often caught up in technological panic, this exceptional volume offers a crucial and timely corrective. It calls educators back to assessment principles grounded in established theory while showing how to design pedagogy that doesn't just respond to AI but actively leverages it to enhance learning. This is an indispensable resource for anyone committed to the future of meaningful assessment in higher education.” Professor Yan Zi, Head, Department of Curriculum and Instruction; Executive Co-Director, Centre for Excellence in Learning and Teaching, The Education University of Hong Kong “This important collection could not be more timely, arriving as universities around the world grapple with how to design meaningful assessment in the age of generative AI. Bringing together chapters from some of the world’s leading experts on assessment and feedback in higher education, the book offers both authority and depth. The book does not shy away from the complexity of what is clearly a ‘wicked problem’: designing meaningful, credible assessment in a rapidly evolving technological landscape. Yet neither does it lapse into pessimism about the future. Instead, the volume combines strong theoretical and conceptual grounding with practical ways forward, giving readers a sense of cautious optimism rooted in the insight, experience, and collective expertise of its contributors.” Professor Naomi Winstone, University of Surrey"How to assess appropriately, validly and meaningfully in universities in the age of artificial intelligence is core concern of academics, quality assurers and university leaders as we confront almost universal concerns about issues such as originality of authorship, reliability and pragmatism. It would be easy for HE practitioners to simply throw in the towel and resort to unseen exams and labour-intensive one-to-one assessments, discarding some of the most valuable work on working towards authentic assessment we have witnessed in recent years, but this is not what the authors of these thoughtful and evidence-based chapters are suggesting This new volume, edited by some of the most highly regarded leaders in thinking internationally, from the Deakin University based Centre for Research in Assessment and Digital Learning (CRADLE) is an invaluable and timely guide to navigating these stormy waters, and helping to ensure that student learning remains central to approaches implemented. The book offers both sustainable and practical guidance for programme and course leaders as well as empirical insights into possible ways forward. University colleagues at all levels will do well to consult this book over future years to avoid the mindless panic that is all to obvious in contemporary commentary on the issue."Sally Brown, Emeritus Professor, Leeds Beckett University "This collection of essays is just what I was looking for. Serious, experienced educational experts helping me think through not only the how but the why of assessment transformation in an era of GenAI. The articles situate the GenAI story in its broader context allowing us to put the focus of our work where it needs to be—on what we want higher ed to be not on what the GenAI hype cycle is selling us."Dave Cormier, Director of Curriculum Development and Delivery, Open Learning, Thompson Rivers university and author of Learning in a time of Abundance: the community is the curriculum, published by Johns Hopkins University Press. "This volume gathers an enviable concentration of assessment expertise—the kind of scholarship CRADLE attracts like a magnet—and shows with conviction that enduring assessment principles remain indispensable in the age of generative AI. Moving from foundations to evidence and future directions, it cuts through the noise of superficial AI commentary with analysis that is both rigorous and refreshingly pragmatic. Insightful for policy and practice, and written with a light scholarly touch, it stands out as a genuinely authoritative guide to designing assessment in an AI‑inflected future."Professor Kay Sambell, BA (Hons), MA, D.Phil, PFHEA, NTF, University of Cumbria
