Artificial intelligence (AI) presents unprecedented challenges for assessment in higher education, disrupting traditional approaches to evaluating student learning.
In this collection, the editors address these challenges head-on, grounding responses in long-standing assessment principles that have guided educational practice for decades. Rather than panic-driven responses or technological quick fixes, chapter authors offer frameworks for genuine transformation. AI exposes the vital importance of principles such as validity, authenticity, and meaningful learning. From program-wide reforms to innovative oral assessments, this book presents real examples of assessment evolution happening now. The collection explores both theoretical frameworks and practical realities, examining what's changing in classrooms and what these changes mean for the future of education.
By reconnecting with assessment fundamentals while embracing technological possibilities, this essential read provides important insights for teaching and learning scholars, academic developers, assessment designers, institutional leaders and policymakers, and anyone seeking pedagogically sound approaches to assessment design in the AI era.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Thomas Corbin is Lecturer at the Centre for Research in Assessment and Digital Learning at Deakin University, Australia. His research focus is on education and assessment design at the intersection of generative artificial intelligence and work.
Juuso Henrik Nieminen is Senior Research Fellow at the Centre for Research in Assessment and Digital Learning at Deakin University, Australia. His research explores how educational assessment takes shape and shapes people in a social world.
Joanna Tai is Associate Professor at the Centre for Research in Assessment and Digital Learning at Deakin University, Australia. Her research interests span student experiences of learning and assessment, inclusive assessment, feedback literacies, evaluative judgement, peer-assisted learning, and research synthesis.
Jack Walton is Lecturer at the Centre for Research in Assessment and Digital Learning at Deakin University, Australia. His main research interests include the assessment of complex and creative work, and the relationship between assessment and generative artificial intelligence.
Margaret Bearman is Research Professor at the Centre for Research in Assessment and Digital Learning, Deakin University, Australia. Her current interests span higher and professional education, including learning, teaching, and working in a world with artificial intelligence.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : moluna, Greven, Allemagne
Etat : New. Thomas Corbin is Lecturer at the Centre for Research in Assessment and Digital Learning at Deakin University, Australia. His research focus is on education and assessment design at the intersection of generative artificial intelligence and work. N° de réf. du vendeur 3558169777
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Neuware - Artificial intelligence (AI) presents unprecedented challenges for assessment in higher education, disrupting traditional approaches to evaluating student learning.In this collection, the editors address these challenges head-on, grounding responses in long-standing assessment principles that have guided educational practice for decades. Rather than panic-driven responses or technological quick fixes, chapter authors offer frameworks for genuine transformation. AI exposes the vital importance of principles such as validity, authenticity, and meaningful learning. From program-wide reforms to innovative oral assessments, this book presents real examples of assessment evolution happening now. The collection explores both theoretical frameworks and practical realities, examining what's changing in classrooms and what these changes mean for the future of education.By reconnecting with assessment fundamentals while embracing technological possibilities, this essential read provides important insights for teaching and learning scholars, academic developers, assessment designers, institutional leaders and policymakers, and anyone seeking pedagogically sound approaches to assessment design in the AI era. N° de réf. du vendeur 9781041317807
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