Course overview
- Study period
- Semester 1, 2026 (23/02/2026 - 20/06/2026)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Psychology School
Every day we make decisions by relying on our personal theories about how things are supposed to work. But our reliance on these rules is paid for at the cost of accuracy. We tend to see what we expect to see and believe what we're told. One goal of this course is to figure out how everyday decision making can be improved.
How do people make choices—sometimes brilliantly, sometimes disastrously? In PSYC3052, you will explore the science behind human judgement and decision making, from the role of cognitive shortcuts and social influence to the emerging power of artificial intelligence. Through 12 engaging classes, you will examine the foundations of heuristics and biases, dive into metacognition and expertise, and discover how decision-making processes adapt—or fail—under uncertainty.
This course uses a "flipped classroom" approach where you engage with content before class, freeing up our weekly sessions for hands-on activities, interactive experiments, and in-depth discussions. Each week brings opportunities to apply JDM principles: you'll experience classic decision-making paradoxes firsthand, test your own susceptibility to cognitive biases, evaluate real-world nudging interventions, analyse how experts make high-stakes calls under pressure, and design choice architectures that improve outcomes. You'll also learn to harness generative AI tools for research, discussion, and study—while carefully evaluating both their potential and pitfalls.
Throughout the semester, you will master strategies for identifying hidden influences on thinking, from everyday choices in personal finance to high-stakes decisions in medicine, law, and education. You will practice distinguishing credible information from misinformation, understand how group dynamics affect collective outcomes, and reflect on the ethical implications of shaping others' choices. Frequent in-class quizzes and AI-supported exercises will solidify your grasp of core concepts, while a final examination encourages you to apply cognitive science principles to contemporary challenges.
By the end of this course, you will understand not just how humans think, decide, and occasionally err, but how to use this knowledge to make more informed and rational choices. More importantly, you'll have experienced these principles firsthand through weekly activities that make the science of judgement and decision making come alive.
Course requirements
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
PSYC1040 + PSYC2010 + PSYC2050
Course contact
Course staff
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
To develop an in-depth and integrative understanding of how approaching judgment and decision making from a psychological perspective improves our understanding of human behaviour.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Identify and explain the fundamental concepts and theories in judgement and decision making, including heuristics and biases, dual-process theories, metacognition, expertise, and decision making under uncertainty.
LO2.
Apply judgement and decision making principles to real-world situations, from everyday choices to high-stakes decisions in medicine, law, and education.
LO3.
Evaluate decision-making strategies—including nudging, choice architecture, and group decision making—and assess their effectiveness and ethical implications.
LO4.
Critically assess research methods used to study judgement and decision making, evaluating the quality, rigour, and reproducibility of empirical claims.
LO5.
Communicate and defend evidence-based positions on judgement and decision making through written and verbal presentation.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Quiz |
Weekly In-Class Quizzes
|
50% |
5/03/2026 - 28/05/2026 |
| Reflection |
Weekly AI Explorations
|
20% |
5/03/2026 - 28/05/2026
Weekly AI Explorations are due Wednesday at 5pm, ahead of Friday's class. This gives us time to review submissions—and to identify the best ones, which earn chocolate. |
| Examination |
Final Examination
|
30% |
End of Semester Exam Period 6/06/2026 - 20/06/2026 |
Assessment details
Weekly In-Class Quizzes
- In-person
- Mode
- Written
- Category
- Quiz
- Weight
- 50%
- Due date
5/03/2026 - 28/05/2026
- Other conditions
- Time limited.
Task description
Each week in class, you'll complete a pencil-and-paper quiz using traditional bubble sheets. These quizzes draw on the assigned readings and activities, reinforcing your understanding of key concepts. Frequent low-stakes testing is one of the most effective learning strategies we know—it promotes better long-term retention than passive review alone (Roediger et al., 2011).
To help you prepare, we'll release a 30-question practice quiz on Blackboard one week before each in-class quiz. These practice quizzes let you engage actively with the material, get comfortable with the question format, and—most importantly—identify what you understand well and where you might need to focus more attention before the real thing.
There are 12 quizzes in total, each worth 5%. Only your top 10 scores count toward your final grade, making up 50% overall. Quiz results will typically appear on Blackboard within a week or two; if you have questions about your marks, feel free to contact the tutors.
No AI Allowed
These quizzes assess your own understanding of the material. Using AI tools or any other unauthorised assistance may constitute academic misconduct under the Student Code of Conduct.
Submission guidelines
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Each week, you'll complete an in-class quiz worth 5% of your final grade. Only your top 10 out of 12 scores count, which means you can miss up to two quizzes without penalty—those zeros simply become your dropped scores. This built-in flexibility accommodates illness, emergencies, or other unexpected circumstances without the need for make-up quizzes.
If you have three documented absences, your quiz component will be reweighted across your best nine scores (5.56% each). Students who miss four or more quizzes due to serious documented circumstances should contact the course coordinator to discuss their situation.
Weekly AI Explorations
- Online
- Mode
- Written
- Category
- Reflection
- Weight
- 20%
- Due date
5/03/2026 - 28/05/2026
Weekly AI Explorations are due Wednesday at 5pm, ahead of Friday's class. This gives us time to review submissions—and to identify the best ones, which earn chocolate.
Task description
Each week, you'll receive a brief from a fictional company or individual facing a real-world problem—one that connects directly to the judgement and decision making concepts we're exploring that week. These aren't abstract exercises; they're practical challenges that ask you to apply what you're learning to help solve genuine puzzles about how people think and choose.
You might be asked to design a debiasing intervention for a hospital struggling with diagnostic errors, create a choice architecture for a superannuation fund nudging better retirement decisions, or develop a guide that helps a hiring committee avoid common interview pitfalls. Each task requires you to create something tangible (typically a PDF) using generative AI tools.
Your submission has two components: the AI-generated output itself (1%) and a brief reflection (1%) describing what you tried, what you learned, and whether the AI proved helpful or misleading. You must submit the AI output to earn marks for the reflection.
There are 11 tasks across the semester; your best 10 count toward a total of 20%.
Generative AI use
You may use any appropriate generative AI tool to complete these exercises. Each week's brief will specify exactly what's required, and you're encouraged to use AI creatively—not just for generating content, but for brainstorming, testing ideas, role-playing as sceptical stakeholders, or challenging your own assumptions.
Why this assessment?
These exercises pair hands-on AI practice with thoughtful reflection, helping you develop critical thinking about what AI can and can't do well. More importantly, they give you experience applying judgement and decision making research to real problems—the kind of challenges you'll encounter in workplaces, communities, and everyday life.
Submission guidelines
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Each week, you'll complete a structured exercise using generative AI, tied directly to that week's content. Each task has two components: the AI-generated output (1%) and a brief reflection (1%) analysing what you tried, what you learned, and whether the AI proved helpful or misleading. You must submit the AI output to earn marks for the reflection.
Only your top 10 out of 11 scores count toward your final grade, which means you can miss one task without penalty—that zero simply becomes your dropped score. This built-in flexibility accommodates illness, emergencies, or other unexpected circumstances without the need for make-up tasks.
If you have two documented absences, your task component will be reweighted across your best nine scores. Students who miss three or more tasks due to serious documented circumstances should contact the course coordinator to discuss their situation.
Final Examination
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 30%
- Due date
End of Semester Exam Period
6/06/2026 - 20/06/2026
- Other conditions
- Time limited.
Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | No calculators permitted |
| Open/closed book | Closed book examination - no written materials permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 23.99 |
Absence of evidence of achievement of course learning outcomes. |
| 2 (Fail) | 24 - 46.99 |
Minimal evidence of achievement of course learning outcomes. |
| 3 (Marginal Fail) | 47 - 49.99 |
Demonstrated evidence of developing achievement of course learning outcomes |
| 4 (Pass) | 50 - 64.99 |
Demonstrated evidence of functional achievement of course learning outcomes. |
| 5 (Credit) | 65 - 74.99 |
Demonstrated evidence of proficient achievement of course learning outcomes. |
| 6 (Distinction) | 75 - 84.99 |
Demonstrated evidence of advanced achievement of course learning outcomes. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. |
Supplementary assessment
Supplementary assessment is available for this course.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Additional learning resources information
Please remain mindful of the importance of the library resources for the academic work of others, and report any damage or missing items to Library staff as soon as possible.
Access to a high speed internet connection is highly recommended for downloading of materials and to perform literature searches.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
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| Learning period | Activity type | Topic |
|---|---|---|
Week 1 (23 Feb - 01 Mar) |
Workshop |
Class 1: AI as Your Intellectual Sparring Partner What if your study buddy never slept, remembered everything, and could challenge your thinking at 3 AM? We’ll transform AI from a tempting shortcut into a powerful amplifier for your cognition. You’ll learn to orchestrate idea scaffolds, extract conceptual DNA from dense readings, craft questions that expose your blind spots, and receive instant feedback that sharpens your writing. These aren’t just tech tricks—they’re cognitive partnerships that turn AI into an extension of your thinking process, not a replacement for it. |
Week 2 (02 Mar - 08 Mar) |
Workshop |
Class 2: The Mind’s Complementary Processing Systems Your brain integrates intuitive and analytical thinking in fascinating ways. We’ll explore how Kahneman and Tversky revolutionised our understanding of how humans actually decide—not how we should theoretically decide. You’ll see how your quick intuitions (System 1) handle routine judgements efficiently yet stumble predictably on certain problems, while your more deliberate reasoning processes (System 2) offer valuable corrections but require cognitive effort you might conserve. This interplay between automatic and reflective thinking shapes how we interact with AI systems throughout the course—sometimes enhancing our reasoning, sometimes capitalising on our mental shortcuts. |
Week 3 (09 Mar - 15 Mar) |
Workshop |
Class 3: Your Brain’s Brilliant Shortcuts (And Where They Lead You Astray) Why do shark attacks seem more dangerous than bathtubs, despite the statistics? Your mind’s ingenious shortcuts—heuristics—let you navigate a complex world without overheating your cognitive processors. We’ll dissect the big three (availability, representativeness, anchoring) that power your intuitive judgements yet create predictable blind spots. These aren’t random errors but systematic cognitive illusions—as stubborn as optical illusions—that persist even when you know they exist. In our AI-augmented world, understanding these mental shortcuts becomes even more crucial, as algorithms can either amplify our biases or help us recognise them. |
Week 4 (16 Mar - 22 Mar) |
Workshop |
Class 4: Building Mental Lego: How Humans (and Machines) Solve Problems When you’re stumped by a problem, what’s happening in your mind? We’ll peek under the hood of human reasoning—from the “Aha!” moment that seems to come from nowhere to the methodical problem-solving strategies that build solutions piece by piece. You’ll discover why you get stuck in mental ruts (hint: it’s not lack of intelligence) and how to climb out of them. By comparing your cognitive toolkit with AI approaches, you’ll see both the stunning flexibility of human insight and the relentless computational power of machine reasoning—each with lessons for the other. |
Week 5 (23 Mar - 29 Mar) |
Workshop |
Class 5: Thinking About Thinking: Your Mind’s Hidden Control Room How does a chess master recognise patterns in seconds that would take you minutes to analyse? We’ll explore metacognition—your brain’s capacity to monitor itself—and the “Eureka!” moments when solutions seemingly materialise from thin air. You’ll discover how experts don’t just know more facts but see fundamentally different patterns, chunking information like master Tetris players arranging blocks. We’ll debunk the “10,000-hour rule” while uncovering how deliberate practice actually rewires thinking. This isn’t just academic—it’s your roadmap from novice to mastermind in any domain you choose, even as AI reshapes the boundaries of what expertise means in the 21st century. |
Week 7 (13 Apr - 19 Apr) |
Workshop |
Class 6: Navigating the Fog: Decisions When You Don’t Know What You Don’t Know Would you rather a guaranteed $500 or an 80% chance at $700? Your answer likely changes if these are gains or losses—a quirk prospect theory explains beautifully. We’ll explore why humans are notoriously bad at probability judgements yet surprisingly sophisticated in handling deep uncertainty. You’ll witness your own sensitivity to how problems are framed and experience firsthand your asymmetric feelings toward equivalent gains and losses. We’ll harness AI tools that can crunch uncertainty’s numbers while examining the paradoxical human expertise in domains where probabilities themselves are unknown. |
Week 8 (20 Apr - 26 Apr) |
Workshop |
Class 7: Minds Beyond Humans: What Corvids, Octopi, and Algorithms Reveal About Thinking When a crow fashions a hook from wire to retrieve food, or an octopus solves a complex puzzle, what kind of intelligence are we witnessing? We’ll venture beyond human cognition to explore the alien intelligences all around us—from the astonishing problem-solving of corvids to the eerily effective learning of neural networks. These alternative cognitive architectures offer a humbling perspective: human reasoning isn’t the pinnacle of intelligence but one evolutionary solution among many. You’ll discover what makes our thinking uniquely powerful, where other minds outshine us, and what this reveals about intelligence itself. |
Week 9 (27 Apr - 03 May) |
Workshop |
Class 8: The Group Mind: When We Think Together (For Better or Worse) How did intelligent NASA engineers collectively approve a catastrophically flawed Challenger launch decision? Your mind transforms in groups—sometimes achieving collective brilliance, other times spectacular failure. We’ll dissect groupthink, where the desire for harmony overwhelms critical evaluation, and polarisation, where discussions mysteriously make groups more extreme than their members. You’ll learn when the “wisdom of crowds” produces near-miraculous accuracy and when it degenerates into dangerous amplification of errors. Most importantly, you’ll master practical techniques to harness collective intelligence while avoiding its pitfalls. |
Week 10 (04 May - 10 May) |
Workshop |
Class 9: The Architecture of Influence: When Nudges Work, Fail, and Backfire Ever wonder why fruit at eye level boosts healthy eating while calorie labels fail? Initial excitement around “nudging”—tiny tweaks to decision environments—has collided with meta-analyses showing wildly variable effects. We’ll examine why structural nudges (like default organ donation) outperform informational ones, and when interventions backfire through psychological reactance. You’ll see how AI transforms nudging—targeting your cognitive quirks with precision—while raising questions about manipulation versus enhancement. Is nudging cognitive candy or medicine? The answer lies in understanding when interventions harmonise with your thinking rather than trigger your mind’s defences. |
Week 11 (11 May - 17 May) |
Workshop |
Class 10: Cognitive Crossfit: Can You Really Train Your Brain? Does mastering chess make you better at life? Can Lumosity games boost your intelligence? We’ll cut through the hype surrounding “brain training” with razor-sharp scientific skepticism. You’ll discover the disappointing truth about knowledge transfer—how expertise remains stubbornly domain-specific despite commercial promises to the contrary. We’ll explore where genuine cognitive enhancement is possible and where biological constraints laugh at our ambitions. This critical lens becomes even more valuable as AI-powered “cognitive enhancement” tools flood the market with bold claims but questionable evidence—leaving you equipped to separate legitimate augmentation from digital snake oil. |
Week 12 (18 May - 24 May) |
Workshop |
Class 11: Your Brain on Bullshit: Building Cognitive Immunity to Misinformation In an era where AI can generate convincing falsehoods faster than humans can debunk them, how do you separate signal from noise? Your mind contains both vulnerabilities that make you susceptible to misinformation and powerful defences when properly deployed. We’ll explore why compelling narratives often triumph over dry facts, why corrections sometimes backfire, and how identity-protection drives belief persistence. You’ll experience firsthand how your brain processes synthetic media and develop resistance techniques against falsehoods—including surprising new evidence that AI-based correction methods can shift even entrenched conspiracy beliefs. |
Week 13 (25 May - 31 May) |
Workshop |
Class 12: When Every Choice Matters: Decision Science Under Pressure How do doctors make life-or-death calls under uncertainty? Why do experienced judges make different parole decisions before and after lunch? High-stakes decisions magnify cognitive biases—but strategic interventions can minimise these errors. We’ll explore how simple checklists save lives in operating rooms, how “sequential unmasking” prevents forensic confirmation bias, and how AI-assisted diagnostics reduce—yet sometimes introduce—critical mistakes. You’ll learn practical methods to preserve clear thinking when emotions run high, time is short, and consequences are enormous—skills essential in professional contexts where decisions truly matter. |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
- AI for Assessment Guide
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: