Fwd: Top 20 chats for finals

[Howard Rheingold]

What are equivalent prompts for peeragogy?

Howard Rheingold 
https://patreon.com/howardrheingold
what it is ---> is --->up to us

Begin forwarded message:

From: ChatGPT for Education <openaifor...@substack.com>

Subject: Top 20 chats for finals

Date: May 7, 2025 at 3:02:09 PM PDT

To: howard.r...@gmail.com

Reply-To: ChatGPT for Education <reply+2ovfo5&2apzrs&&53b604c658e7e133b38c4b798b649e28...@mg1.substack.com>

	Forwarded this email? Subscribe here for more Top 20 chats for finals Students from universities around the world share the specific chats they're using. You can copy and paste these into ChatGPT and try them yourself. MAY 7   READ IN APP   I want to learn by teaching. Ask me questions about [topic] so I can practice explaining the core concepts to you. Explain [topic] to me in 3 different levels of understanding from elementary school level to college level. I want to pressure test my thesis before I keep writing. Suggest the existing opposing viewpoints and any flaws in my logic.  I want to practice my final presentation for [course]. Act as my public speaking coach and give me feedback to help me improve. I want to learn about [topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it. Can you take the following slides and help me learn the content in afaster and more interesting way? Create an image to help me visualize [concept]. I am struggling to understand [topic] and want you to create a game to help me [learning goals]. Decode this dense passage into language I can understand. Provide a comprehensive list of articles from top tier peer reviewed journals on [topic]. Include the title, authors, date and link to the full paper and summarize the main findings and their relevance to the topic. Act as my professor and grade my assignment according to the rubric. Please cite this website for me in APA format: [source]. Give me a step-by-step guide to help me finish [project]. Make the steps as small and achievable as possible. Look for any rules and requirements in this assignment and make a checklist that's easy to understand. I’m not feeling it today. Help me understand this lecture knowing that's how I feel. Turn this into flashcard style questions and answers. I have an upcoming exam for [course]. Create a practice quiz for mebased on the material. Ask me each question one by one. The exam will be [exam format] so please follow this style. Write sentences in Spanish with incorrect grammar and I will try to fix them. Please provide corrections in English. I'm studying [topic]. Motivate me.  I am writing about [topic] and want to consider multiple perspectives. Find 3 experts with different points of view and compare their opinions. Thank you to the students who shared and tested these chats ✨  Bilan Cali, Carolina Hoyos, Daisy Sheng, Deonna, Harper Carroll, Emi Mathew, Emily Hallman, Jaya, Kayleigh Koekemoer, Liam Blackshaw-Brown, Mal, Malindu Praboda, Maria Angel Ferrero, Meghna Goli, Nirvana, Paniz, Parker Jones, Tuhin Patra, Valentin Belanov, and all the students in the ChatGPT Lab. ChatGPT for Education explores how AI can help you teach and learn more effectively. Subscribe to receive posts like this in your email inbox. Subscribed If you’re a college student in the US or Canada, ChatGPT Plus is free through finals season!   LIKE COMMENT RESTACK   © 2025 Mamie Rheingold 548 Market Street PMB 72296, San Francisco, CA 94104  Unsubscribe

[Joe Corneli]

Dear Howard,

I wanted to share that we've made quite a lot of surprising progress inspired by your question. A key step was noticing that it is possible to get ChatGPT to run simulated multi-agent workshops.  The first one I set up was around the set of discussion prompts copied below.  

We used the same idea in a new paper:

https://arxiv.org/abs/2506.09696

My algorithm for producing the questions below: ask ChatGPT to take a draft paper and turn it into a set of writing prompts; and, again, to turn these prompts into peeragogical exercises.  I'd previously asked ChatGPT to read the Peeragogy Handbook.  So, the questions below are specific to the topic I was looking at, but this method can be repeated for any topic!

Joe

🌀 Peeragogical Exercises for a Seminar on Epistemic AI (30 Prompts)

🌱 Phase 1: Foundations of Inquiry

1. Build a Collective Glossary
   Each student proposes one term related to epistemic AI and one unexpected term from another domain. Define both and discuss overlaps.

2. Who Are We Learning With?
   Interview an AI system (e.g. ChatGPT) about a complex concept. Compare transcripts in groups: what kind of peer is the AI?

3. Design a “Worst Case” AI System
   In small teams, sketch an AI that fails at supporting collaborative inquiry. What design patterns led it there?

4. Map Our Unknowns
   As a group, build a shared uncertainty map: What do we not know yet about AI and epistemology?

5. Construct a Pattern in the Wild
   Go into your own disciplinary practice (lab, studio, workplace) and identify a peer-learning pattern at play. Share and codify it.

6. Trace the Life of a Question
   Take one “big question” from class. Track how it evolves over three weeks across discussions, documents, and AI queries.

7. Draft a Proto-Manifesto
   In trios, write three versions of: What should AI be like if it is to support human flourishing in knowledge work?

8. Reverse Engineer a Research Culture
   Choose a field (math, art, social science). How does it teach newcomers to think? Could AI systems model that onboarding?

9. Build a Collaborative Reading List
   Select 3–5 readings as a group. Make a system for how new texts are added based on inquiry rather than syllabus.

10. Design a Rotating Facilitation Protocol
    Develop (and revise!) a structure for rotating leadership in weekly discussions that encourages emergence.

---

🔍 Phase 2: Mid-Semester Meta-Design

11. Develop a Peer Review Protocol
    Invent your own way of giving meaningful feedback on experimental ideas. Try it in pairs.

12. Run a Scenario Workshop
    Imagine a future where your collective project becomes real. Role-play users, funders, skeptics.

13. Write a Pattern Language Seed
    In subgroups, name and sketch 2–3 emergent design patterns from your own collaboration so far.

14. Prototype an Epistemic Interface
    Imagine a dashboard, workspace, or social tool that helps people work with ambiguity. Draw, describe, or code it.

15. Explore a Failure Together
    As a group, choose one shared failure in the course (a broken tool, a boring session). Analyze it like a system.

16. Ask a Better Question
    Identify a question from early in the course that no longer serves you. Transform it into a more generative version.

17. Design for Diverse Knowing
    Explore how AI systems might work differently for users with radically different epistemic traditions or contexts.

18. Hold a Midpoint Retrospective
    Facilitate a meta-discussion: What’s working? What’s lagging? What wants to change in the learning ecology?

19. Propose a Change to the Curriculum
    Each student gets one “curricular hack” to propose and trial. Debrief what emerges.

20. Audit an Existing AI Tool
    Choose a current AI application. As a team, audit its epistemic posture: What does it assume about knowledge?

---

🚀 Phase 3: Toward Open-Ended Futures

21. Start a Collective Inquiry Thread
    Pick one inquiry theme and follow it across different modalities (chat, essay, code, fieldwork) for the rest of the semester.

22. Develop a Co-Writing Protocol with AI
    Design a fair, experimental method for collaborative writing with LLMs. Publish one short piece.

23. Create a Public Artifact
    Produce a shared output (zine, wiki, podcast, pattern library) for external readers interested in epistemic AI.

24. Reflect on a Moment of Not-Knowing
    Share one moment when you felt stuck or disoriented in the course. What did you learn about inquiry?

25. Interview Each Other as Researchers
    Conduct peer interviews on evolving research identities. Reflect on how each person’s epistemology has shifted.

26. Forecast an Ethical Dilemma
    Imagine your future AI system becomes widely adopted. What new ethical dilemma does it create? Explore it deeply.

27. Curate a Gallery of Partial Ideas
    Share unfinished, strange, or “in-progress” ideas. What makes something worth sharing before it’s ready?

28. Name Your System
    If your semester’s work produced an AI system or protocol, what would you call it—and what does that name imply?

29. Build a Meta-Pattern Language
    Map the peeragogical moves you used to shape this course. What did you invent about learning itself?

30. Disperse the Inquiry
    Final project: each student plants a seed from this course into another community they belong to. Come back with stories.

[Howard Rheingold]

Wow! Fantastic progress, Joe! Will post about it and send to my daughter.

what it is -->is-->up to us
how...@rheingold.com  www.rheingold.com

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[Charlie]

Thanks for sending to your daughter, Howard!! :)