Where educators dream, AI builds, and together they teach.
Two experimental teaching tools built so far — more to come.
Role-Play AI Coach
When students break into groups for a role-play, you wish you could be in every room — watching how each one performs and giving them personal feedback after. With several groups running at once, you can’t. So an AI sits in with each group: it follows the whole role-play and gives every team an individual written critique, as if a coach had been in the room with them.
How it works
- Record & transcribe. The group records its live role-play on a laptop or phone — ordinary room audio, nothing to install — and it is transcribed with each speaker identified by role.
- Assess against the literature. The transcript is read against the principles in the subject’s standard texts — the benchmark for what good and poor practice look like.
- Score objectively. Where the exercise has a measurable outcome, the result is computed in code — measured, not estimated by the AI.
- Compare with the class. Each group is benchmarked, anonymously, against every other group that ran the same exercise.
- Report. Everyone gets a plain-language report: what happened, what was missed, the turning points, and one concrete change to make next time.
Weekly Recall Game
Keeping a class on top of the material week by week usually means writing quizzes you don’t have time for. Here you don’t: set the course up once and a short game runs itself every week — questions built from your own slides and readings, students kept honest, and feedback that points each one to exactly what to revisit.
How it works
- Set up once, at the start. You load the course’s slides and readings up front; from these the game builds every week’s questions and answers automatically, each mapped back to the exact slide or reading it came from.
- A short round each week. A quick set opens from that week’s material — multiple-choice and short answer, one attempt, pausable until it closes. Minutes, not an evening.
- Marked instantly and fairly. Auto-graded, with a randomised set per student, so it’s their own understanding being tested.
- See where you stand. A weekly and term-long class leaderboard — low-stakes each week, but it counts toward the course grade, so it pays to keep up rather than cram.
- Targeted review after it closes. When the window ends, students get the answers, the reasoning, the exact slide or reading each question came from, short expert clips where provided, and how the class did.
Practice Studio
The student generates their own practice questions from the course slides and readings — choose the week, question type, difficulty and length, answer in their own time, and get instant AI feedback. Private, with an optional “share with my lecturer”.
Building now — full detail when it ships.
For enrolled UNSW students.