Date
Publisher
Stanford Accelerator for Learning
The rapid expansion of artificial intelligence (AI) presents an unprecedented
opportunity to address learning diferences when designing innovative systems. In
December 2024, the Stanford Accelerator for Learning convened the AI + Learning
Diferences Working Symposium and AI + Learning Diferences Hackathon, bringing
community members together to explore how AI systems can expand learning
opportunities for all.
This white paper synthesizes contributions into nine interconnected sections, each
examining a critical dimension at the intersection of AI and learning diferences:
Study at a glance
- Question: How can artificial intelligence be designed to expand learning opportunities for people with learning differences?
- Setting and data: Community members at a working symposium and hackathon hosted by Stanford Accelerator for Learning in December 2024.
- Method: Synthesis of working symposium and hackathon contributions into a white paper.
Why it matters
The rapid expansion of artificial intelligence presents an unprecedented opportunity to address learning differences when designing innovative systems. It provides a chance to explore how AI systems can expand learning opportunities for all.
Key findings
- Artificial intelligence presents an unprecedented opportunity to address learning differences when designing innovative educational systems.
- Artificial intelligence systems can expand learning opportunities for all learners.
- Nine interconnected critical dimensions define the intersection between artificial intelligence and learning differences.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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