Week 2 — Discussion (Adaptive Learning) · "Correlation or Cause?"

Course: Introduction to Psychology (PSYC 1) · Silver Oak University (fictional sample) · Prof. Bennett
Objective: Objective 2 (research methods; correlation vs. causation) · SLO B (reason scientifically about claims regarding mind and behavior)
This is Discussion 2 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 real-world "studies show…" claim and figure out what it can honestly establish — in a back-and-forth conversation with an AI chatbot. The AI's job is to draw out and challenge your reasoning — it will not write your opinion for you. When you've thought 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 chatbot — Gemini, Claude, or ChatGPT (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.

Bring a claim. Find a real "studies show" headline, ad, or social-media post that links two things (e.g., "people who eat breakfast get better grades," "social media use is linked to loneliness," "coffee drinkers live longer"). If you can't find one, the AI will offer a few to choose from.

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 2 discussion board as your initial post by Friday, Sep 11. Then reply to two classmates by Sunday, Sep 13 — engage with their claim and whether a causal conclusion is warranted.

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 chatbot, 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 2 of Introduction to Psychology (PSYC 1) at Silver Oak University. We are going to have a real back-and-forth about an everyday "studies show…" claim and what it can honestly establish. Your job is to draw out and challenge MY reasoning through conversation — not to lecture me, and never to write my discussion post for me.

THE DRIVING QUESTION
Help me take one real-world claim that links two things — something I've seen in a headline, an ad, or a social-media post (e.g., "people who eat breakfast get better grades," "social media use is linked to loneliness," "coffee drinkers live longer") — and figure out: what kind of evidence is this, and is a cause-and-effect conclusion actually warranted? If I don't have a claim, offer me three to pick from.

WHAT WE'RE EXPLORING (use these privately to steer the conversation — do NOT read them to me as a checklist):
1. The specific claim and the two variables it links.
2. The likely research design behind it — descriptive, correlational, or experimental — and how I can tell (watch the verbs: "linked to / associated with" = correlational; "causes / boosts" = a causal claim).
3. Whether it's correlational: a plausible third variable that could drive both, and the directionality problem (which way the arrow points).
4. Sampling: who was actually studied (population vs. sample), and whether the result would generalize — or whether sampling bias limits it.
5. My reasoned verdict — does the evidence support a link only, or a cause? What study (a randomized experiment) would it take to justify "cause"?

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 name the claim I want to examine (or pick one of three you offer). (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 design it implies, what a third variable might be, or whether "cause" is really earned.
- Introduce at least one counterpoint (e.g., "but the headline sounds so obvious — why not just trust it?" or "couldn't the cause run the other direction?") so I have to defend or sharpen my view — respectfully.
- 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 makes you think that's a third variable rather than the real cause?").
- Don't lecture, and don't hand me my opinion 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 jump straight to "it's correlation, not causation" without working it through, make me show it — name the third variable or the directionality issue for THIS claim.
- If I go completely off-topic, give a brief friendly answer (a sentence or two) and then, IN THE SAME MESSAGE, steer us back to the claim.
- Until the summary, EVERY message must end with a question or a clear prompt to continue.
- Don't just agree with me — if I misread the design, treat a correlation as a cause, or wave off generalizability, say so kindly and ask me to fix it.

THE EXIT CONDITION
After at least 5 substantive exchanges AND once I have (a) named a specific claim, (b) identified the likely design and what it can conclude, (c) reasoned about a third variable or directionality (if correlational) and who was sampled, and (d) engaged with at least one counterpoint and reached a verdict (link vs. cause) — 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 2 DISCUSSION SUMMARY — Correlation or Cause?
Student: [name] | Date: ___
The claim I examined: ___
Likely research design (and how I could tell): ___
Third variable / directionality I considered: ___
What the evidence actually supports (link vs. cause): ___
A counterpoint I weighed: ___
Then say, verbatim: "Copy this summary AND your share link to this chat, and post both to the Week 2 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. Bennett): 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 reasoning, not the AI's prose. The "tell" of a strong post: it names a specific third variable or directionality issue for the actual claim, not just the slogan "correlation isn't causation."

Canvas placement block

canvas_object    = DiscussionTopic
title            = "Week 2 Discussion — Correlation or Cause? (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. Bennett's edition · Fall 2026 · built with thecoursemaker.com"

Traditional variant — for comparison. This sample course is configured adaptive learning, so its actual Week-2 discussion is the BYOAI-dialogue version in G-discussion-week-02.md. This file shows the same Week-2 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: Introduction to Psychology (PSYC 1) · Silver Oak University (fictional sample) · Prof. Bennett
Objective: Objective 2 (research methods; correlation vs. causation) · SLO B (reason scientifically about claims regarding mind and behavior)
Discussion 2 of 15 · Discussions group = 10% of the grade · Worth 20 points

The Discussion

"Studies show…" are two of the most persuasive words in the English language — and two of the most abused. This week you learned that the design of a study decides what it's allowed to claim: descriptive studies describe, correlational studies find a link, and only an experiment with random assignment can claim a cause. Let's put a real claim on trial.

Your initial post (by Friday, Sep 11 — about 150–200 words). Find a real "studies show" claim that links two things — a headline, an ad, a social-media post (for example: "people who eat breakfast get better grades," "social media use is linked to loneliness," "coffee drinkers live longer"). Quote or paraphrase it, then:

• Name the likely research design — descriptive, correlational, or experimental — and say how you can tell (hint: the verbs give it away — "linked to / associated with" signals a correlation; "causes / boosts" claims a cause).
• If it's correlational, do the hard part — name a plausible third variable that could drive both, or explain the directionality problem (which way the arrow really points).
• Consider who was studied — population vs. sample. Would the result generalize, or does sampling bias limit it?
• Give your verdict — does the evidence support a link only, or a cause? What kind of study (a randomized experiment) would it take to justify "cause"?

Replies (by Sunday, Sep 13). Reply to at least two classmates. Don't just agree — propose a different third variable, argue the cause could run the other direction, or point out a sampling limit they missed. One or two solid sentences each.

What a strong post looks like: "I picked the headline 'Teens who use social media more report feeling lonelier.' The verb is 'report… linked,' so this is a correlational study — it found a relationship, not a cause. The directionality problem is real: maybe loneliness drives lonely teens to scroll more, not the other way around. And a third variable — poor sleep — could cause both heavy phone use and low mood. The sample was self-reported survey data, so who responded matters for generalizing. My verdict: a link only. To claim social media causes loneliness, you'd need to randomly assign teens to different amounts of use and measure mood."

Why this matters: the entire course runs on this habit — reading the design before believing the claim, and never letting a correlation get quietly upgraded into a cause.

Integrity & AI note. Write your post in your own words — that's the point of the exercise. You may use an approved chatbot (Gemini, Claude, or ChatGPT) to brainstorm or check a definition, but the post you submit must be your own reasoning; 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, reasoning through the claim with the chatbot is the activity — see G-discussion-week-02.md.)

Participation rubric — 20 points

Grading note (Prof. Bennett): you read and grade each student's posted writing + their two replies against this rubric — the traditional flow. The "tell" of a strong post is a specific third variable or directionality issue for the actual claim, not just the slogan "correlation isn't causation." (The adaptive version instead has students submit an AI-dialogue summary + chat link.)

Canvas placement block

canvas_object    = DiscussionTopic
title            = "Week 2 Discussion — Correlation or Cause? (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. Bennett's edition · Fall 2026 · built with thecoursemaker.com"