Course: Introduction to Psychology (PSYC 1) · Silver Oak University (fictional sample) · Prof. Bennett
Module: Week 9 of 16 · Fall 2026 · in-person, two 75-minute sessions
Objective covered: Objective 6 — Analyze higher mental processes — cognition, language, and intelligence — and the forces of motivation and emotion. (This week is the cognition/language/intelligence half; motivation & emotion is Week 10.)

This file holds two pieces: (A) the Module 9 Overview page ("Start Here") and (B) the Welcome Announcement that drips out when the module opens. Dates below assume a Tuesday/Thursday session pattern with Week 9 meeting Tue Oct 27 and Thu Oct 29, and end-of-week work due Sunday Nov 1, 11:59 p.m. Adjust the day-of-week and times to match your section.

(A) Module 9 Overview — Start Here

Welcome to Week 9: Cognition, Language & Intelligence

This is your home base for the week. Read it first, then work the checklist below from top to bottom. Everything you need is linked inside the module.

We just spent two weeks on memory — how the mind stores the past. This week we watch the mind use what it knows: how you think, solve problems, take mental shortcuts, build sentences, and what it even means to call someone "intelligent." Here's the hook that runs through all of it: your brain is fast because it cheats. It swaps hard questions for easy ones and leans on rules of thumb — and most of the time that works beautifully. This week is about the times it doesn't, and why being smart or educated doesn't make you immune.

The week's big question

"If smart, educated people still fall for predictable mental errors, what does that tell us about how thinking — and intelligence — actually work?"

By Friday you'll be able to name the shortcuts your brain runs all day, catch them in real decisions, explain why intelligence is genuinely hard to pin down, and say what an IQ score does and doesn't mean.

By the end of this week, you can…

Use this as a checklist. If you can do all four out loud, you're ready for the quiz.

• [ ] Explain how we organize knowledge with concepts (mental categories) and prototypes (the "best example"), and contrast algorithms (slow, guaranteed) with heuristics (fast shortcuts).
• [ ] Spot the major judgment biases — availability (judge by what comes to mind), representativeness (judge by resemblance), confirmation bias, framing, overconfidence — in everyday scenarios, and name the obstacles to problem-solving (fixation, mental set, functional fixedness).
• [ ] Describe the building blocks of language — phonemes (sounds), morphemes (meaning units), grammar/syntax — and its developmental stages (babbling → one-word → two-word → telegraphic).
• [ ] Compare the theories of intelligence — Spearman's general intelligence (g), Gardner's multiple intelligences, Sternberg's triarchic — and explain how IQ is measured (standardization, the normal curve, reliability, validity) and why a score is not a person's worth.

What's due this week, and when

Work these in order — each one gets you ready for the next.

Heads-up on the AI tutorial: you'll use a chatbot to draft and explain, and then you judge its work against what we cover in class. Chatbots routinely swap the availability and representativeness heuristics, or relabel plain confirmation bias as "availability." Catching the model is the point — and it's exactly the bias-auditing skill this week is about.

Late policy reminder: 10% off per day late. If life happens, reach out before the deadline — I'd much rather hear from you early.

How to succeed this week

• Lead with the idea, not the jargon. Every term this week is a plain-English idea first (a heuristic is just a shortcut; a prototype is the "best example"). The vocabulary comes after the idea clicks.
• Memorize two tiny hooks. "Algorithm = certain but slow; heuristic = fast but fallible." And for the two confusable biases: "Availability = easy to recall; representativeness = looks like the type."
• Hunt biases in the wild. For one full day, every time you make a snap judgment, try to name the shortcut behind it. Naming it is most of the cure — and it's exactly what the discussion and assignment ask you to do.
• Remember the headline lesson: smart ≠ immune. Intelligent, educated, careful people fall for these biases constantly, because the shortcuts are baked into how a fast mind works. The fix isn't being smarter; it's noticing.
• Treat the chatbot as a smart intern, not an oracle. It drafts; you check. This week, the very thing you're checking for — does it confuse two shortcuts? — is the week's content.

This week needs no math and no special background — just a willingness to catch your own mind in the act. Come to class ready to admit one decision you've made on a shortcut. See you Tuesday.

(B) Welcome Announcement — Module 9

Release setting: post on the module's start day (offset = 0 days), i.e., Mon Oct 26, 2026 — not before. If your platform won't preserve the scheduled date on import, post this as a draft labeled "Release: Mon Oct 26."

Subject: Week 9 — why smart people still get fooled (and what "intelligent" even means) 🧠

Hi everyone — welcome to Week 9.

Quick gut check before we start: in a typical year, which kills more Americans — plane crashes or car crashes? You know it's cars, by a huge margin. So why are more of us nervous boarding a plane than getting in the car? That gap is this week in a nutshell: your brain answered a hard question ("how risky is flying?") by swapping in an easier one ("how easily can I picture a plane crash?") — and got it predictably wrong. That shortcut has a name, the availability heuristic, and you run it (plus a few others) all day long.

This week — Cognition, Language & Intelligence — we tackle the big question: If smart, educated people still fall for predictable mental errors, what does that tell us about how thinking — and intelligence — actually work? You'll learn the mental shortcuts behind everyday judgment, how language is built and learned, and how psychologists try (and argue about how) to measure intelligence.

Three things not to miss:
1. Lecture Tutorial 9 — work through the biases, language, and intelligence theories with one approved chatbot (Gemini, Claude, or ChatGPT) and submit the share link. Fitting twist: chatbots often swap the very heuristics you're learning, so you'll catch the model, not just trust it. Due Sun Nov 1.
2. Quiz 9, Discussion 9, and Assignment 9 also close Sun Nov 1 — the discussion asks you to catch a bias in one of your own real decisions, so start early and leave time to reply to classmates.
3. Open the Start Here page first — it lays out everything in order with due dates.

One promise: this is not a week about feeling dumb. It's the opposite — the smartest, most careful people fall for these shortcuts, because that's how a fast mind works. The skill isn't being smarter; it's learning to notice. By Friday you'll catch yourself (and the news, and that one relative) in the act.

Bring one decision you've made on a hunch to class on Tuesday — we'll diagnose it together.

See you soon,
Prof. Bennett