A space for economics educators to exchange ideas on generative AI — from early-stage classroom experiments to mature assessment redesign.
The Generative AI in Economics Education CoP brings together lecturers, researchers, and practitioners who are exploring how generative AI changes teaching, learning, and assessment in economics. The primary meeting format is a regular online seminar series. Offers to present are welcome at early or late stages of development.
Seminars typically run on Microsoft Teams and start at 2pm London time. Session links are shared with people on the membership mailing list.
This Community of Practice sits under the Centre for Teaching and Learning Economics (CTaLE). The official CTaLE CoP page remains the institutional reference (its listed leadership may lag). This site is the organisers' editable home for the live programme and join requests.
The CoP is currently co-organised by Antonio Mele (LSE), Carlos Cortinhas (University of Exeter), and Jana Sadeh (University of Southampton).
We thank Petar Stankov (Royal Holloway), who previously led the CoP and shaped its seminar culture.
Short bios for the current co-organisers.
Co-organiser
London School of Economics (LSE)
Antonio Mele is Associate Professor of Economics (Education) at LSE. His teaching and scholarship interests include AI-enhanced teaching, assessment and feedback, and preparing economics students for AI-shaped careers. He co-organised work on rethinking economics assessments in a GenAI world with CTaLE, the Stone Centre, and the Royal Economic Society.
Co-organiser
University of Exeter
Carlos Cortinhas is based at the University of Exeter and works on economics education research and practice, including generative AI in teaching and assessment. He collaborates widely across UK and international economics education networks.
Co-organiser
University of Southampton
Jana Sadeh is based at the University of Southampton. Her economics education work includes student engagement, partnership in learning design, and classroom interventions — including projects that explore AI tools in the student journey.