Human methods, new material: AI for the classroom
summary
A 0–1 product story that gives the claims, tools, and results: the team finds 3.5 million teachers inside 27M users, prototypes with teachers in classrooms and hackathons, and ships features that change workflows — swipe-to-mark and split views that remove paper constraints, plus handwriting clustering AI that groups answers for bulk feedback. Engineers and designers sit in classrooms, observe real hacks, iterate fast on prototypes, and report measurable time saved and clearer grading workflows rather than vague user anecdotes.
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chapters (10)
- 0:00Human-centered AI in education
- 1:17Educators behind project
- 4:05Teachers’ COVID struggles
- 6:53Observing teachers in class
- 9:20AI grading and insights
- 12:29Hidden workflows revealed
- 13:53Engineers and designers in class
- 16:21Bridging chaos with design
- 18:08AI tools accelerate design
- 20:34Built for people
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