Here’s a short talk I recently gave at Monash University’s Symposium on Using AI in the Scholarship of Teaching & Learning Research Process: Methods, Tools and Practices, hosted by their AI in Research Reference Group and the Business Education Research Group. My thanks to Jess Co for inviting me.
It’s a snapshot of work underway in various projects with colleagues at UTS and beyond, and our PhD students. References + links in the slides. For more details on ThemeExplorer and GROPROE, see this seminar and the associated papers.
And here’s the ThemeExplorer video I showed, designed as part of the Student Voices on AI in HE project, codesigned with Antonette Shibani, Lisa-Angelique Lim, Trish McCluskey and the amazing Aneesha Bakharia (U Queensland) who coded it (paper below):
Bakharia, A., Shibani, A., Lim, L.-A., McCluskey, T., & Buckingham Shum, S. (2025). From Transcripts to Themes: A Trustworthy Workflow for Qualitative Analysis Using Large Language Models. Proceedings of Workshop From Data to Discovery: LLMs for Qualitative Analysis in Education, LAK25: 15th International Conference on Learning Analytics & Knowledge, Dublin, IRE, pp. 1-10. https://ceur-ws.org/Vol-3995/LLMQUAL_paper1.pdf