Towards a research agenda for generative AI in university mathematics education.

This paper reports preliminary results of a study employing the Delphi method to ascertain the consensus of stakeholders regarding the role and use of generative artificial intelligence (genAI) in teaching and learning undergraduate mathematics. Participants to the study included mathematicians, mathematics educators, and learning designers. The data consists of responses to an online survey which asked participants to state the most urgent research questions related to the use of genAI in university mathematics. We obtained 41 research questions by 34 participants from 23 institutions. We grouped these questions under two broad thematic headings: "questions concerning students' interaction with genAI" and "questions concerning teachers' interaction with genAI". These themes indicate what participants deem a pressing research agenda concerning genAI in university mathematics to be. We conclude with a description of the next steps for this study.