OER resources about incorporating AI feedback in writing instruction
Anna Mills
I wanted to share an OER resource I'm involved in developed. The UC Davis Writing Program has launched the PAIRR (Peer and AI Review + Reflection) website documenting our approach to integrating AI feedback within writing instruction: https://writing.ucdavis.edu/pairr
We're using MyEssayFeedback.ai, a not-for-profit platform developed by OER-affiliated educators that includes
enhanced privacy protections.
Our five-part methodology puts critical reflection at the center of the process, positioning students as evaluators rather than uncritical consumers of AI feedback. This approach emerged from a large pilot study at UC Davis, reaching 654 students in 2023-24, and is now expanding to public open-access community colleges and state universities through California Learning Lab funding.
As a community already engaged with these questions, we're less interested in promoting our specific approach than in contributing to a broader conversation. We're making all materials available as OER and seeking cross-pollination with related projects (like PapyrusAI at UC Irvine).
If you're researching similar approaches to AI in writing contexts, implementing related pedagogies or just interested, we invite you to browse our website, sign up for updates, and get in touch!
Website: https://writing.ucdavis.edu/pairr
I’m writing as the communications point-person on behalf of the whole group of investigators. Lisa Sperber, Marit MacArthur and Carl Whithaus, developed the approach, working closely with graduate students Sophia Minnillo and Nicholas Stillman. We’re also working with Hao-Chuan Wang, Aparna Sinha, Rachel Leibrock, Julie Gamberg, Karen Crozer, Emerson Case, Val Turner, Hogan Hayes, and Eric Kean, the developer of MyEssayFeedback.ai.
Best, Anna Mills