Stanford’s AI + Learning Differences Hackathon brought 136 people from seven sectors together for a 12-hour sprint. Their shared question was direct: how can artificial intelligence help every learner thrive? By embedding people with learning differences throughout the process, the event made inclusive design a working method rather than a closing checklist.
136
participants
22
prototypes
15+
countries represented
5
thematic tracks
Co-design from the start
Participants with learning differences joined as builders, mentors, and judges. Their expertise shaped five tracks spanning special education, workforce learning, traditional education, well-being, and assistive technology.
MentorMates helped teams organize feedback from peers and domain experts in real time. That made iteration visible and kept decisions tied to the experiences of the people each solution was intended to serve.
Five solutions with immediate relevance
- Empower IEP simplified Individualized Education Plans with summaries, translation, and meeting support.
- Maestra explored an AI coordinator for classroom needs and student engagement.
- FeelLink adapted social-emotional learning scenarios to each learner.
- BCBAwesome supported behavioral therapy technicians through AI coaching.
- Roleability used role-playing to build empathy and social adaptability.
A blueprint for inclusive innovation
The event produced more than 22 prototypes. It demonstrated that inclusive design attracts broader talent, that lived experience improves product relevance, and that a carefully structured sprint can make sophisticated technology accessible to non-technical contributors.
For partners, the model created a talent pipeline, fresh research and development signals, and a documented format that other communities can adapt. For learners, it made a stronger promise: innovation can be built with them, not merely for them.
Explore the source
Bring this format to your community or team
MentorMates designs hands-on hackathons and AI workshops that turn important problems into testable ideas.
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