I develop educational material about generative AI and academic writing. The material teaches students how to evaluate fluent answers (competent-looking prose that may still be wrong) and make decisions about using them in academic work.
Using AI responsibly in academic writing
I built a six-module Canvas resource for students. It explains how current AI tools generate text and why their output needs to be checked. Later modules address course rules, academic integrity, and permitted uses of AI during the writing process.
The resource covers the information students enter into AI systems, including confidential research material and unpublished work. It also covers verification, documentation, and responsibility for submitted work.
True, Accurate, and Complete
I designed a grant-writing lab for graduate students. Participants read fictional proposal excerpts as funding reviewers, working out what each passage claims and whether the proposal gives them enough reason to accept it.
The excerpts are written to appear convincing even when the evidence is weak or incomplete. Participants identify those weaknesses and explain how they would affect a funding decision.
An optional Gemini tool generates reviewer-style questions. Students use those questions when deciding how to revise.
Related work
Both projects were developed through Writing and Learning at the University of Alberta. I also teach workshops about AI use in academic writing and graduate research.
Related publications and presentations appear under Research and publications.