Digital Technology and Artificial Intelligence in Mathematics Education Assessment - Couverture rigide

Couverture rigide

ISBN 10 : 1032876530 ISBN 13 : 9781032876535

Editeur : Routledge, 2026

Synopsis

This timely and thought-provoking book explores how Artificial Intelligence (AI) and digital technologies more generally are reshaping educational assessment in the field of mathematics. It brings together a rich collection of international perspectives that offer a diverse and critical examination of the opportunities and challenges that digital technologies including artificial Intelligence play in assessment.

The chapters span a broad range of topics including the transition to a digital assessment format, designing multiple-choice items, and the use of AI for automated diagnosis, example generation and feedback provision. The book includes a framing chapter that critically examines current trends in the field and offers key recommendations for rethinking assessment. It calls for more empirical research and a fundamental rethink of assessment practices in light of digital technologies and AI. The volume as whole also invites readers to engage in a broader conversation about the future of educational assessment and the role of digital technologies in transforming assessment in mathematics education.

This essential resource for educators, researchers, curriculum developers, policymakers, and assessment stakeholders offers a comprehensive look at the evolving international landscape of assessment in mathematics education in the digital era, and invites readers to engage in the conversation about the future of educational assessment.

A propos du livre

À propos de l?auteur

Eirini Geraniou is a Professor of Mathematics Education at University College London, UK. She has extensive expertise on task-design, course design and design-based research and the integration of digital technologies in mathematics education. Eirini has been an active member of the European Society for Research in Mathematics Education (ERME) since 2009 and became an elected member of the ERME board in 2021.

Cosette Crisan is a Professor at University College London, UK. She is a leading expert at the intersection of mathematics education and digital technology. Cosette has taught mathematics at university and school levels, as well as educated future mathematics teachers. She is a member of the prestigious London Mathematical Society Education Committee, which is involved in a wide range of activities from supporting mathematical education in schools, colleges and universities.

Manolis Mavrikis is a Professor of Artificial Intelligence and Analytics in Education at the UCL Knowledge Lab - an interdisciplinary research centre at UCL's Faculty of Education and Society. A former Turing Fellow at UK's Alan Turing Institute (ATI), and director of the master's in Education and Technology, where he continues to teach and supervise students in Artificial Intelligence in Education. Manolis has led large national and international projects in educational technology.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1032876530
• ISBN 13: 9781032876535
• Reliure: Relié
• Nombre de pages: 286
• Éditeur: Geraniou Eirini, Crisan Cosette, Mavrikis Manolis
• Coordonnées du fabricant: Routledge; https://www.routledge-ny.com/; ; Stockst?dter Str. 20; Gro?ostheim; Bayern; Allemagne