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.
This timely book explores how Artificial Intelligence and digital technologies 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 play in assessment.
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 Entwistles 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
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 UKs 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.
