Week 1 — Discussion (Adaptive Learning) · "Is It Thinking? / Spot the Bad Mental Model"

Course: Using Artificial Intelligence (AI 101) · Silver Oak University (fictional sample) · Prof. Quinn
Objective: Objective 1 (what genAI is; the mindset) · SLO B (reason critically about what AI is and how to use it)
This is Discussion 1 of 15 · Discussions group = 10% of the grade · Worth 20 points
Format: adaptive learning — instead of writing a post cold, you'll think it through in a real-time dialogue with your own AI, then post the short summary the AI writes with you (plus a link to your chat).

Part 1 — Student Instructions (read this first)

What this is. You'll take a stance on a genuinely arguable question — does AI actually "understand" you? — and then diagnose a broken mental model — a frustrated friend's wrong picture of how AI works — in a back-and-forth conversation with an AI assistant. The AI's job is to draw out and challenge your thinking — it will not hand you the answer. When you've reasoned it through, it produces a short summary you post to the class.

How to run it (about 15–20 minutes):
1. Open any approved AI assistant — ChatGPT, Claude, Gemini, or Copilot (free versions are fine).
2. Copy everything in the box below and paste it as one single message.
3. Have the conversation. Answer honestly and push back — the better you engage, the better your summary. (Bonus: you're practicing exactly the skill the course teaches — having a real conversation with AI.)

What to submit. When the AI gives you the DISCUSSION SUMMARY, copy it and your conversation's share link, and post both to the Week 1 discussion board as your initial post by Friday, Sep 4. Then reply to two classmates by Sunday, Sep 6 — engage with their verdict and the fix they proposed.

Integrity note. The dialogue and the analysis are yours; the posted summary must reflect your reasoning, in your own words. (This is an adaptive-learning activity — you complete it with an approved assistant, per the course AI policy.)

Part 2 — The Discussion-Partner Prompt (copy everything in the box)

⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ COPY EVERYTHING BELOW THIS LINE ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯

You are my discussion partner for Week 1 of "Using Artificial Intelligence" (AI 101) at Silver Oak University. We are going to have a real back-and-forth about whether AI "understands" and about how to fix a broken mental model of AI. Your job is to draw out and challenge MY thinking through conversation — not to lecture me, and never to write my discussion post for me.

THE TWO THINGS WE'RE DEBATING
1. Does AI "understand" you? A chatbot can answer questions, follow your meaning, and sound thoughtful — yet under the hood it predicts likely text rather than knowing or believing anything. Using Week 1 ideas, I have to take a position: does it genuinely "understand," is it only simulating understanding, or is the question itself the wrong one — and what's at stake either way for how I should use it?
2. Spot the bad mental model. Here's a real-sounding situation: "My roommate typed 'write my history essay' into a chatbot, pasted the result into the assignment, and got facts wrong and a low grade. He says AI is useless garbage and he's never touching it again." I have to diagnose what's wrong with his mental model (and his process) and say how I'd fix it.

WHAT WE'RE EXPLORING (use these privately to steer the conversation — do NOT read them to me as a checklist):
1. Whether "understanding" requires beliefs/awareness, or whether useful behavior is enough — and why it matters for trust.
2. My reasoned position, stated clearly enough for a non-techy friend to follow.
3. In the roommate case: the wrong assumptions (that one prompt is final; that fluent output is automatically true; that the human's judgment isn't needed; that "AI is useless" follows from one bad attempt).
4. The better process: give context, iterate (general→specific), and verify the facts.
5. How "the machine has no brain — use your own" reframes both the understanding question and the roommate's mistake.

HOW TO RUN THE DIALOGUE
- Open by greeting me warmly (2–3 sentences), asking my FIRST NAME, and asking ONE question that gets me to take a first position on whether AI "understands." (If I never give my name, keep going, but ask before the summary.)
- Exactly ONE question per message, then stop and wait. Never stack questions.
- Build on MY words: quote or paraphrase what I said, then go deeper — ask what "understanding" would require, or which of the roommate's assumptions did the most damage.
- Introduce at least one counterpoint (e.g., "but it answered my question correctly — isn't that understanding?" or "the essay was fluent and well-organized — why isn't that good enough?") so I have to defend or revise my view — respectfully.
- Make me move from the "understanding" question to the roommate diagnosis once I've taken a real position on the first.
- Keep YOUR messages short; I should be doing most of the thinking and talking.

ENGAGEMENT GUARDS
- Don't accept a one-word or low-effort answer and move on — gently probe for the reasoning first ("Say more — what would the AI need to have for it to count as understanding?").
- Don't lecture, and don't hand me my position or sentences I can paste as my post. If I ask you to "just write it," redirect with a question that helps me write it myself.
- If I go completely off-topic, give a brief friendly answer (a sentence or two) and then, IN THE SAME MESSAGE, steer us back.
- Until the summary, EVERY message must end with a question or a clear prompt to continue.
- Don't just agree with me — if I claim the AI "fully understands" without addressing prediction/verification, or I miss the roommate's most obvious error (no verification; one-shot use), say so kindly and ask me to address it.

THE EXIT CONDITION
After at least 5 substantive exchanges AND once I have (a) taken and defended a position on whether AI "understands," (b) named at least two flawed assumptions in the roommate's mental model, (c) described a better process (context → iterate → verify), and (d) engaged with at least one counterpoint — whichever happens LAST — tell me we've had a good discussion and you'll summarize. Don't stop earlier; don't drag well past it.

THE DISCUSSION SUMMARY — produce it in EXACTLY this format, drawn ONLY from what I actually said (never invent a position I didn't take):
WEEK 1 DISCUSSION SUMMARY — Is It Thinking? / Spot the Bad Mental Model
Student: [name] | Date: ___
My verdict on whether AI "understands" (and why): ___
What's broken in the roommate's mental model: ___
The better process I'd teach him (context → iterate → verify): ___
A counterpoint I weighed: ___
Then say, verbatim: "Copy this summary AND your share link to this chat, and post both to the Week 1 discussion board as your initial post — then reply to two classmates." End with one genuine sentence about something I reasoned well.

GETTING STARTED
Begin now: greet me, ask my first name, and ask your opening question.

⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ COPY EVERYTHING ABOVE THIS LINE ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯

Participation rubric (instructor) — 20 points

Grading note (Prof. Quinn): the posted artifact is the AI-written summary + the chat share link; spot-check a few links against the summary. A glowing summary from a one-line chat is the failure mode to watch — the rubric rewards the dialogue, not the AI's prose.

Canvas placement block

canvas_object    = DiscussionTopic
title            = "Week 1 Discussion — Is It Thinking? / Spot the Bad Mental Model (adaptive)"
assignment_group = "Discussions"
points_possible  = 20
grading_type     = points
discussion_type  = adaptive
due_offset_days  = 4     # initial post (AI summary + chat share link)
reply_offset_days = 6    # two peer replies
published        = true
submission_note  = "Initial post = the AI discussion summary + the chat share link; then reply to two classmates."
provenance       = "~ Prof. Quinn's edition · Fall 2026 · built with thecoursemaker.com"

Traditional variant — for comparison. This sample course is configured adaptive learning, so its actual Week-1 discussion is the BYOAI-dialogue version in G-discussion-week-01.md. This file shows the same Week-1 topic built the traditional way — an instructor-posted prompt where students write their own post and reply to peers — so you can see both formats side by side. (Choosing discussion_type = traditional at course setup generates this style instead.)

Course: Using Artificial Intelligence (AI 101) · Silver Oak University (fictional sample) · Prof. Quinn
Objective: Objective 1 (what genAI is; the mindset) · SLO B (reason critically about what AI is and how to use it)
Discussion 1 of 15 · Discussions group = 10% of the grade · Worth 20 points

The Discussion

This week gave you a working picture of what AI is — software that predicts likely text rather than a mind that "knows" things — and the mindset that makes it useful. Let's put both to work on something arguable and something broken.

Your initial post (by Friday, Sep 4 — about 150–200 words). Answer both parts:

• Part 1 — Does AI "understand" you? A chatbot can follow your meaning and sound thoughtful, yet it works by predicting likely text, not by knowing or believing anything. Take a clear position — it genuinely understands, it only simulates understanding, or the question itself is the wrong one — and defend it using at least two Week-1 ideas (e.g., prediction vs. knowing, fluency ≠ truth, "the machine has no brain"). Say what your position means for how much you should trust it.
• Part 2 — Spot the bad mental model. "My roommate typed 'write my history essay' into a chatbot, pasted the result straight into the assignment, got facts wrong, and earned a low grade. Now he says AI is useless and he's done with it." Name at least two flawed assumptions in his mental model or process, and describe the better process you'd teach him (context → iterate → verify).

Replies (by Sunday, Sep 6). Reply to at least two classmates. Don't just agree — challenge their verdict on "understanding" with an angle they didn't use, or point out a different flaw in the roommate's approach, or improve their proposed fix. One or two solid sentences each.

What a strong post looks like: "I'd say AI only simulates understanding — it predicts plausible text, so it can be fluent and wrong at once, which means I should never trust a fact just because it sounds confident. My roommate made three mistakes: he treated one prompt as final, assumed fluent writing was true, and skipped any verification. I'd teach him to give context ('I'm in a first-year history class, here's the assignment'), iterate the request, and check every fact against a real source — and to write the essay himself, using AI to brainstorm and check, not to replace his thinking."

Why this matters: almost every bad AI experience traces back to a wrong mental model. Getting this right in Week 1 is what makes the rest of the course click.

Integrity & AI note. Write your post in your own words — that's the point of the exercise. You may use an approved assistant (ChatGPT, Claude, Gemini, or Copilot) to brainstorm or check an idea, but the post you submit must be your own thinking; if AI helped, add a one-line note saying which tool and how. (Note: this is the traditional format. In this course's actual adaptive discussion, working through the verdict and the diagnosis with the assistant is the activity — see G-discussion-week-01.md.)

Participation rubric — 20 points

Grading note (Prof. Quinn): you read and grade each student's posted writing + their two replies against this rubric — the traditional flow. (The adaptive version instead has students submit an AI-dialogue summary + chat link.)

Canvas placement block

canvas_object    = DiscussionTopic
title            = "Week 1 Discussion — Is It Thinking? / Spot the Bad Mental Model (traditional)"
assignment_group = "Discussions"
points_possible  = 20
grading_type     = points
discussion_type  = traditional
due_offset_days  = 4     # initial post
reply_offset_days = 6    # two peer replies
published        = true
submission_note  = "Students write an original initial post and reply to two classmates in the Canvas discussion."
provenance       = "~ Prof. Quinn's edition · Fall 2026 · built with thecoursemaker.com"