BC.

Brooklyn CorbettPhD

Postdoctoral Research Fellow + Principal Coordinator, Student Success

Turning research into practice.

Understanding how people think, learn, and judge, and designing for the reality of it.

I started with a PhD in psychology, studying how people become expert at difficult things. The questions kept multiplying: what makes judgement reliable, why wrong ideas are so hard to shift, what makes learning stick, how to tell whether help is helping, and what AI changes about all of it. The rest of this site is what I've built while chasing them.

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Tools for educators

You know your subject better than anyone. With AI you no longer need to code to turn that expertise into activities students can experience, not just read about. Here are a few I have built for different courses. You can build your own.

Experience-it demosInteractives where the effect happens to the student. Feel how small working memory is, or get caught out by a reasoning puzzle. Open → Do you know what you know?A self-reflection check that shows students how well their confidence matches their accuracy. Open → Interactive explainersTwo worked examples, stats and code, plus a recipe to build your own for class and drop it into Blackboard. Open →

Tools for research and evaluation

These are just some of the tools I like to create. Small, self-contained things I build for planning and evaluating research: each one opens in your browser and does the real thing, whether that is running the calculation, plotting your own data, or walking you to a design you can defend.

Power by simulationEstimate power by simulating your design. t-test, 2×2 ANOVA, two proportions. Open → What the average hidesFour datasets where the summary looks settled and the data says otherwise. Plus a checker for your own numbers. Open → Qualitative data at scaleA worked example: 72 job descriptions made searchable and codeable at once, built to a research team's brief. Open → Which design can you run?Answer a few questions about your constraints, get the strongest evaluation design you can defend. Open →

Research projects

Enhancing university education with AI

Building AI learning tools, then running a trial to see where they actually help.

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How school-community partnerships lift attendance

What schools and their communities can build together to get students through the gate.

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What makes learning stick in high-risk work

How frontline workers learn on the job, and what makes a supervisor effective.

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How people become expert at difficult things

Studying how forensic experts make reliable judgements under uncertainty.

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If any of this looks useful, let's talk.

Whether it's evaluation, digital tools, or making the evidence easier to use, I'd love to hear what you're working on.

Email me