Digital Technology and Artificial Intelligence in Mathematics Education Assessment

Author:   Eirini Geraniou ,  Cosette Crisan ,  Manolis Mavrikis
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032876528


Pages:   286
Publication Date:   22 January 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Digital Technology and Artificial Intelligence in Mathematics Education Assessment


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Author:   Eirini Geraniou ,  Cosette Crisan ,  Manolis Mavrikis
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
ISBN:  

9781032876528


ISBN 10:   1032876522
Pages:   286
Publication Date:   22 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Setting the scene on the use of technologies and artificial intelligence in feedback and assessment in mathematics education 2. The transfer of assessment from pen and paper to e-assessment: two case studies from one theoretical perspective 3. Digital technology and assessment validity: Exploring utilisation schemes for a basic spreadsheet tool used in PISA 2022 4. High-stakes mathematics assessment in Finland 5. Teachers insights from digital formative assessment compared to traditional pencil and paper assessments in elementary school geometry 6. Adaptive Feedback and (digital) Assessment of Conceptual Knowledge 7. Advancing Automated Assessment for Open-Ended Questions in Mathematics 8. A reconceptualisation of the instrumental genesis process in the context of human-LLM interactions: exploring students' perspective on their use of GPT-4o as a tool to support self-assessment 9. The power of well-designed multiple-choice items to enhance mathematics teaching and learning 10. Example-generation tasks for computer-aided assessment 11. Students’ interaction with and appreciation of automated informative tutoring feedback 12. Using computer algebra to support automatic assessment of mathematics 13. Study Approaches in Interactive Learning Environments for Formative Assessment: detecting patterns aligned with Entwistle’s theory 14. Introducing atomic, re-usable feedback for the semi-automated assessment of mathematics tasks 15. Developing mathematical competencies to assess ChatGPT-generated outputs: Three forms of mediations

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Author Information

Eirini Geraniou is 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 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, including supporting mathematics education in schools, colleges, and universities. Manolis Mavrikis is Professor of Artificial Intelligence and Analytics in Education at the UCL Knowledge Lab – an interdisciplinary research centre at UCL Institute of Education. A former Turing fellow at UK’s Alan Turing Institute (ATI) and director of the master's degree 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.

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