I develop educational resources about generative AI as part of my work in graduate student support. My teaching happens through workshops, consultations, and materials that students can use outside a course. The resources have to work across disciplines and under course rules that are not always the same.
Much of this work concerns academic writing and research. Privacy and authorship come up often, as do disclosure requirements and the records students may need to keep. Students also practise checking fluent answers (competent-looking prose that may still be wrong) against source material and assignment requirements.
Using AI responsibly in academic writing
I designed and built a six-module Canvas resource for independent use. It explains in plain language how current AI tools generate text and where their answers can go wrong. Students work through course rules and assignment cases, then make an AI-use plan for a current assignment.
True, Accurate, and Complete
I designed a grant-writing lab for graduate students. Participants read fictional proposal excerpts as funding reviewers, identify claims supported by weak or incomplete evidence, and explain how those problems would affect a funding decision.
An optional Gemini tool supplies questions a reviewer might ask. Students can use them while revising.
Related work
I developed both projects through the Writing and Learning Centre at the University of Alberta. I was also part of the international team that developed the ETHICAL framework for responsible generative AI use in research.
Related publications and presentations appear under Research, essays, and fiction.