Rethinking teaching and learning in the mathematical sciences in times of Generative AI After having the storm of Generative AI (GenAI), like ChatGPT, has started discussions in higher education (HE) about the possibilities and challenges since 2023. Whilst these tools provide transformative results, we must ensure that students are using them critically as part of the teaching and learning process. As higher education institutions, we should help students to be prepared for work life after their studies, but it is vital that those tools are used as help rather than bypassing the learning process. There is an ongoing debate the use of such tools for teaching, with various strategies and plans being developed. The course level/content sensitivity is varying with such tools, ie., proof-based mathematics vs. programming modules. It is important to reconsider the teaching and learning under the huge pressure of GenAI-based tools and their high-speed development.As GenAI becomes widespread, it is crucial to provide an enriched platform to share best practices and thought-provoking panel discussions among the HE institutions. This workshop aims to address this critical challenge by bringing together a collection of educators and teaching practitioners from related fields of study, especially mathematical sciences/STEM.We aim to stimulate discussions among teaching practitioners relying on their experiences. The University of Edinburgh, in collaboration with The University of Glasgow, will host this follow-up workshop to last year’s Glasgow event on rethinking assessment in times of GenAI, keeping momentum going on interesting discussions. We want…… to foster the discussion alongside the recent GenAI related improvements for the teaching and learning on mathematics education. Possible themes are below but not limited to:Integrating AI Tools in mathematical educationEthical considerations in AI-driven learningPersonalized learning pathways with AIAI and the evolution of mathematical problem solvingInstructor roles in an AI-augmented classroomAssessing learning outcomes in the age of GenAIHow to develop critical thinking and AI literacy Organisers This event organized by,Ozan Evkaya (University of Edinburgh)Jennifer Gaskel (University of Glasgow)Skarleth Carrales Escobedo (University of Edinburgh)Steven O’Hagan (University of Edinburgh)For more details about this workshop, including registering your interest, please contact: Ozan.Evkaya@ed.ac.uk. How to participate? Please reserve your place by 30 June 2025 by completing the registration form. Please note that capacity is limited, so registration may stop before the deadline when all places are taken. Keynote speakers Michael Groveis Deputy Pro-Vice-Chancellor for Education Policy and Academic Standards at the University of Birmingham, Professor of Mathematics and Mathematics Education, and a National Teaching Fellow.Stuart Kingis working at the School of Mathematics at the University of Edinburgh as a lecturer in Mathematics in 2015, as a member of the Applied and Computational Mathematics research group.Speaker 3TBC Schedule TimeSession Details10:00 - 10:15Welcome and Introduction10:15 - 11:00Main speaker 1: Michael Grove11:00 - 11:30Lightning Talks Session 111:30 - 12:00Tea/Coffee Break12:00 - 12:45Main Speaker 2: Stuart King 12:45 - 13:30Lunch break13:45 - 14:00Discussion Topic 114:00 - 14:30Lightning Talks Session 214:30 - 14:45Tea/Coffee Break14:45 - 15:00Discussion Topic 215:00 - 15:45Main Speaker 3: TBC15:45 - 16:00Closing Remarks Funders This workshop was made possible due in part to generous funding from the following bodies: Image Image Image Image Jul 18 2025 10.00 - 16.00 Rethinking teaching and learning in the mathematical sciences in times of Generative AI This workshop aims to address this critical challenge by bringing together a collection of educators and teaching practitioners from related fields of study, especially mathematical sciences/STEM. Elm Lecture Theatre, Nucleus Building, The King’s Buildings campus Elm Lecture Theatre Register
Rethinking teaching and learning in the mathematical sciences in times of Generative AI After having the storm of Generative AI (GenAI), like ChatGPT, has started discussions in higher education (HE) about the possibilities and challenges since 2023. Whilst these tools provide transformative results, we must ensure that students are using them critically as part of the teaching and learning process. As higher education institutions, we should help students to be prepared for work life after their studies, but it is vital that those tools are used as help rather than bypassing the learning process. There is an ongoing debate the use of such tools for teaching, with various strategies and plans being developed. The course level/content sensitivity is varying with such tools, ie., proof-based mathematics vs. programming modules. It is important to reconsider the teaching and learning under the huge pressure of GenAI-based tools and their high-speed development.As GenAI becomes widespread, it is crucial to provide an enriched platform to share best practices and thought-provoking panel discussions among the HE institutions. This workshop aims to address this critical challenge by bringing together a collection of educators and teaching practitioners from related fields of study, especially mathematical sciences/STEM.We aim to stimulate discussions among teaching practitioners relying on their experiences. The University of Edinburgh, in collaboration with The University of Glasgow, will host this follow-up workshop to last year’s Glasgow event on rethinking assessment in times of GenAI, keeping momentum going on interesting discussions. We want…… to foster the discussion alongside the recent GenAI related improvements for the teaching and learning on mathematics education. Possible themes are below but not limited to:Integrating AI Tools in mathematical educationEthical considerations in AI-driven learningPersonalized learning pathways with AIAI and the evolution of mathematical problem solvingInstructor roles in an AI-augmented classroomAssessing learning outcomes in the age of GenAIHow to develop critical thinking and AI literacy Organisers This event organized by,Ozan Evkaya (University of Edinburgh)Jennifer Gaskel (University of Glasgow)Skarleth Carrales Escobedo (University of Edinburgh)Steven O’Hagan (University of Edinburgh)For more details about this workshop, including registering your interest, please contact: Ozan.Evkaya@ed.ac.uk. How to participate? Please reserve your place by 30 June 2025 by completing the registration form. Please note that capacity is limited, so registration may stop before the deadline when all places are taken. Keynote speakers Michael Groveis Deputy Pro-Vice-Chancellor for Education Policy and Academic Standards at the University of Birmingham, Professor of Mathematics and Mathematics Education, and a National Teaching Fellow.Stuart Kingis working at the School of Mathematics at the University of Edinburgh as a lecturer in Mathematics in 2015, as a member of the Applied and Computational Mathematics research group.Speaker 3TBC Schedule TimeSession Details10:00 - 10:15Welcome and Introduction10:15 - 11:00Main speaker 1: Michael Grove11:00 - 11:30Lightning Talks Session 111:30 - 12:00Tea/Coffee Break12:00 - 12:45Main Speaker 2: Stuart King 12:45 - 13:30Lunch break13:45 - 14:00Discussion Topic 114:00 - 14:30Lightning Talks Session 214:30 - 14:45Tea/Coffee Break14:45 - 15:00Discussion Topic 215:00 - 15:45Main Speaker 3: TBC15:45 - 16:00Closing Remarks Funders This workshop was made possible due in part to generous funding from the following bodies: Image Image Image Image Jul 18 2025 10.00 - 16.00 Rethinking teaching and learning in the mathematical sciences in times of Generative AI This workshop aims to address this critical challenge by bringing together a collection of educators and teaching practitioners from related fields of study, especially mathematical sciences/STEM. Elm Lecture Theatre, Nucleus Building, The King’s Buildings campus Elm Lecture Theatre Register
Jul 18 2025 10.00 - 16.00 Rethinking teaching and learning in the mathematical sciences in times of Generative AI This workshop aims to address this critical challenge by bringing together a collection of educators and teaching practitioners from related fields of study, especially mathematical sciences/STEM.
