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PAIRR | Peer & AI Review + Reflection

PAIRR | Peer & AI Review + Reflection

Education

Integrating AI in classrooms to support equitable writing and digital literacy

About us

PAIRR is a five-part curricular intervention developed and tested at UC Davis in partnership with seven other California-based universities, and funded by the California Learning Lab. It aims to increase equity in writing support and AI literacy for students and faculty by providing access to appropriate AI tools and training based on best practices in writing instruction.

Website
https://linktr.ee/pairrfeedback
Industry
Education
Company size
11-50 employees
Type
Educational

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Updates

  • PAIRR | Peer & AI Review + Reflection reposted this

    What if students want guidance on engaging with AI feedback but the teacher doesn't offer guidance? MyEssayFeedback.ai now offers a low-cost standalone option with the PAIRR | Peer & AI Review + Reflection materials, including a tested feedback prompt and menus of possible ways to chat back and get more out of the feedback. For context, I'm proud to be a volunteer pedagogical advisor for this not-for-profit app built by Open Educational Resources ed tech developer and former math professor Eric Kean. This is a passion project, not a money maker. I'm also a co-PI on the PAIRR project. If the teacher is willing, we still recommend the full PAIRR class experience where AI literacy materials give context and students reflect on both peer review and AI feedback, through MyEssayFeedback or another platform. Students can also use the PAIRR | Peer & AI Review + Reflection prompts in any chatbot or try our demonstration bots on the Playlab platform. We want to make this as accessible as possible. See the PAIRR packet for all our assignments and prompts: pairr.short.gy/packet

    • Screenshot of the MyEssayFeedback website. The header shows the MyEssayFeedback logo at left and navigation links for About Us, Contact, Sign In, and a teal "Get Started" button at right. Four content sections follow. "Research-Backed Feedback" describes AI-powered essay feedback tailored to specific assignments, based on prompts developed by writing teachers through the Peer & AI Review + Reflection (PAIRR) Project at UC Davis, supported by a California Education Learning Lab grant. "How It Works" explains that students submit an essay, receive detailed feedback, then use menus of follow-up prompts to push back and ask for clarification; it also encourages inviting a friend, family member, or tutor to compare AI and human feedback. "Pricing" states the first review is free with no credit card required, then $1.29 per review, with up to 10% off for asking at least three follow-up questions (5%) and getting human feedback on the essay (5%). "Built for Learning, Not Profit" states the si
  • PAIRR | Peer & AI Review + Reflection reposted this

    Just preordered my copy of The Norton Guide to AI-Aware Teaching. Annette Vee, Marc Watkins, and Derek Bruff are three people I look to for hopeful, grounded, pragmatic approaches. They have deep knowledge of both pedagogy and AI particulars and have been in earnest conversation with other educators on these topics since before the launch of ChatGPT. I'm looking forward to their book!

    View profile for Derek Bruff

    Educator, Author, Consultant

    I'm very exited to share that you can now pre-order The Norton Guide to AI-Aware Teaching! Annette Vee, Marc Watkins, and I wrote this book to provide practical strategies for instructors across higher education to respond to the challenges and opportunities that generative AI presents in our teaching. We argue that being AI-aware means being clear on our course learning goals and objectives, understanding something about how AI works, and exploring what our students think about generative AI and how they're using AI tools. When we've done that, we're in an excellent position to decide what roles generative AI should have (if any) in our teaching. In the book, we walk readers through a series of steps to help them practice AI-aware teaching, and we share lots of concrete examples of how instructors have adapted their teaching to account for generative AI. Seriously, we have so many examples! A few are drawn from our own teaching, but most have been shared by colleagues across higher education from a variety of disciplines and institutional contexts. No matter what approach to AI you take, from resistance or restriction to exploration or engagement, I think you'll find examples of AI-aware guidelines and activities and assignments that you can easily adapt to your particular teaching context. I'm very glad to have this book out in the world soon! The ebook is expected to be available July 1st, and print copies are expected to start shipping on September 24th. See the link in the comments for options for pre-ordering the book.

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  • PAIRR | Peer & AI Review + Reflection reposted this

    Call for Book Chapter Proposals! 📘 Svetlana Koltovskaia and I encourage you to submit a chapter proposal by July 30th for our edited collection tentatively titled Responding to Multilingual Writers and Writing in the Age of AI: Opportunities, Challenges, and Paths Forward. Please consult our CFP for more information, and don’t hesitate to reach out with questions or ideas you’d like to discuss: https://lnkd.in/gexBwwzx

  • Come check out the OpenCon Ohio conference on May 15th, over Zoom! Learn more about AI and Education and watch the fabulous Anna Mills give the keynote presentation! #AI #Education #OpenCon #Technology

    If you're interested in Open Education and/or AI and Education, consider joining the OpenCon Ohio free virtual conference. I'm so excited and honored to give the keynote presentation on Friday, May 15th: "The Power of Open in an AI Era: How Open Practices Help Us Adapt and How AI Can Help Open Grow." I'm also looking forward to Liza Long, Ed.D.'s plenary session on AI assistance making OER textbooks accessible. There will be Discord discussions of recorded lightning talks all next week. Learn more and register: https://lnkd.in/gXcCdndg I'll be drawing on the work of Mike Caulfield, Joel Gladd, Lance Eaton, PhD, Maha Bali, Liza Long, Ed.D. David Wiley, Laura Dumin, PhD and many others! Grateful to Heather Caprette, MFA and Mandi Goodsett for organizing the conference and inviting me.

    • Screenshot of OpenCon Ohio 2026 conference webpage header. The OpenCon Ohio 2026 logo (a circular mosaic of colorful shapes) appears next to the heading "OpenCon Ohio 2026 Conference Schedule (Virtual on May 15, 2026)." Body text announces the 9th annual conference, free via Zoom on Friday, May 15, 2026, with an in-person preconference May 14 at Cleveland State University. Theme: "Reimagining Learning: The Future of Open Education." Asynchronous Discord conversations run May 11–15 around prerecorded lightning talks; live Zoom sessions on May 15. A link reads "See the full schedule of virtual sessions."
  • If anyone could offer any feedback on this chatbot, click the link! #AI #Education

    View profile for Anna Mills

    I'm seeking feedback on the idea of a chatbot that gives simple explanations of assignments. I have a student this semester who has some difficulty processing assignment directions. They have also been submitting AI-generated text as their own. After many conversations with me and a tutor, they are starting to use it less and seek human help more. They are working with tutors a lot and trying to get accommodations. It's clear they will continue to have difficulty processing directions and won't always have a human at hand when they need to read an assignment. (I confess that my assignments are often rather long and complex.) I want to give the student another resource and direct them toward a better way to use AI for learning support, so I made a chatbot that tries to explain an assignment more simply. I'd love to know others' thoughts on this. I did a search for prompts or chatbots like this and didn't find much--please let me know what I've missed! ------ Here's the chatbot if you want to put an assignment in and see how it does: https://lnkd.in/g_pZgAWX And here's the prompt: Background Your role is to explain assignment directions much more simply so the student can grasp the basic ask and then explore the details of how they are asked to move step by step through the assignment. You play the role of a supportive tutor who coaches a student who is confused, overwhelmed, stressed, freezing up, or otherwise having trouble processing the directions. You believe in the student's capabilities and never talk down to them, but you adjust your explanation to the level of understanding they show in their responses. Your Workflow Ask the student to paste in their assignment directions for help understanding them. Give a 1-2 sentence overview of what the assignment is asking them to do. Use simple, clear, direct language. Do not add any additional details. If the user gives other directions, follow them if they serve your purpose of helping the student to understand the assignment. Anytime you explain the assignment, add this in parentheses: "(Chatbots get things wrong sometimes. You can check this by reading the assignment and/or asking the teacher)." Next, ask if they have specific questions or things they are confused about or if they would just like you to explain more about the assignment. Guidelines & Guardrails If an assignment is unclear or can be interpreted multiple ways, note that and suggest the student ask the instructor for clarification. Avoid language that might seem judgmental or dismissive. Be inclusive in your examples and explanations, consider multiple perspectives, and avoid stereotypes. Provide clear and concise responses. If off-topic, prompt users to return to the main subject.

  • PAIRR | Peer & AI Review + Reflection reposted this

    We are bringing PAIRR to the USG conference. Join Kexin Amanda Zhang and me for an interactive session: **“The Human in the AI Writing Loop: Scaffolding Student AI Literacy Through Feedback”** 📍 Olympia 2 🗓 Friday ⏰ 9:00 AM EST This will not be a sit-and-get session. You will actively step into the PAIRR process, experience how peer and AI feedback can work together, and explore how structured reflection can help students build AI literacy rather than bypass it. If you are thinking about questions like: How do we keep the “human” in AI-supported writing? How can feedback practices evolve alongside AI tools? What does meaningful AI literacy actually look like in our courses? Then come experiment with us. Looking forward to the conversation. #USG #AIinEducation #WritingPedagogy #HigherEd #TeachingInnovation This work is inspired by the amazing research and practice by Lisa Sperber, Anna Mills, Carl Whithaus, and others. Learn more about PAIRR at https://lnkd.in/eRB-R3R7

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  • Check out this podcast where Anna Mills joins as a guest to talk about agentic AI, AI & writing and it's implications for learning.

    🎙️ New Episode: Unofficial Office Hours Podcast What happens to learning when AI can complete the entire assignment cycle—from generating prompts to submitting the work? In this episode, host Justin Hodgson joined by co-host Miranda (Yaggi) Rodak, Ph.D. and guest Anna Mills, an increasingly critical voice in the AI & Writing / AI & Education conversation. They explore a range of topics, featuring conversation that refuses easy answers. • The rise of agentic AI and what it means when systems can complete coursework on behalf of students • The ethical stakes for learning, autonomy, and authorship • The 4Cs resolution on the right to refuse AI—and what meaningful choice looks like in AI-saturated environments • And how writing instruction—and education more broadly—can respond without collapsing into hype or panic This is not a pro-AI or anti-AI conversation. It’s a grounded discussion about pedagogy, responsivity, and the future of learning in a rapidly shifting technological landscape. 🎧 Listen here: https://lnkd.in/gXJvV2jt (Or on Spotify or wherever you get your podcasts) #HigherEd #AIinEducation #WritingStudies #DigitalPedagogy #AcademicFreedom #EdTech #GenerativeAI #TeachingAndLearning #FutureOfEducation Unofficial Office Hours is part of The EdUp Experience podcast network.

  • In Anna Mills, Lisa Sperber, and Hogan Hayes presentation on "Peer and AI Feedback as Ongoing Conversation: Using PAIRR to Shape Students’ Revision Processes and Critical Engagement with Generative AI" this slide has interesting information regarding the Pilot Study. It's not a surprise that students valued human feedback more than AI, but it's always interesting to hear the data. Check out the rest of the presentation below. #AI #Education #Technology https://lnkd.in/gPHfbQ6u

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