AI Applications in Education
Sprint 6 of the Microsoft Discover AI Upskilling Journey focused on education — where language models and computer vision can reduce instructor busywork and widen access, without pretending a model can replace teaching.
Applications explored
- BERT-style text summarization to condense reading material for learners
- Deepfake detection as a media-literacy teaching tool
- Neural text-to-speech for accessibility
- Automatically generating multiple-choice questions from source content to cut prep time
The through-line was practical tooling educators could actually try: summarization, assessment drafting, and accessibility aids — with the competition format forcing clear demos of each path.