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        Digital Technology and Artificial Intelligence in Mathematics Education Assessment

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        Contributor(s)
        Geraniou, Eirini (editor)
        Crisan, Cosette (editor)
        Mavrikis, Manolis (editor)
        Language
        English
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        Abstract
        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 a 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. It also highlights directions for future research and encourages readers to shaping the future of digital technology and artificial intelligence in formative and summative assessment in mathematics education. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
        URI
        https://library.oapen.org/handle/20.500.12657/109844
        Keywords
        education; formative assessment strategies; assessment; automated feedback systems; mathematics; adaptive learning analytics; Artificial Intelligence; e-assessment tools; Digital technology; computational pedagogy; international comparative studies; AI-driven mathematics evaluation
        DOI
        10.4324/9781003533764
        ISBN
        9781040522394, 9781040522394, 9781003533764, 9781032876535, 9781032876528, 9781040673201
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        Oxford, 2026
        Grantor
        • University College London - [...]
        Imprint
        Routledge
        Series
        European Research in Mathematics Education,
        Classification
        Secondary schools
        Teacher training
        Applied mathematics
        Pages
        304
        Public remark
        Funded by: University College London
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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