Welcome & Icebreaker (3 min)
- Quick introductions (name, role, institution)
- Poll: "What's your biggest adaptive learning challenge?"
The Adaptive Learning Problem (5 min)
Three Critical Challenges:
- Philosophical rigidity: Systems designed for single pedagogy
- AI opacity: Black-box decisions without transparency
- ITS fragmentation: Narrow focus (only cognitive OR only assessment)
Real-World Impact:
- Students transfer institutions → learning history lost
- Teachers can't validate AI recommendations
- Systems can't adapt to diverse learner needs
UALS Solution (7 min)
Four Innovations:
1. Multi-Philosophy Framework
- Curriculum-based (domain → subdomain → concept)
- Competency-based (category → competency → proficiency)
- Identical UI, different content generation
2. Three Complementary Modes
- Knowledge Explorer (exploration)
- Socratic Playground (inquiry)
- Scenario-Based CAT (assessment)
3. 100-Agent ITS
- 30 production-ready, 70 extended
- 17 categories (learner modeling, pedagogy, ethics, neuroscience, etc.)
- 10 coordination levels (4-100 agents, 1-40s)
4. Explainable AI
- "Show AI Thinking" workflow visualization
- Complete transparency for trust-building
- 5-minute cache for immediate replay
Key Takeaways
- UALS solves philosophy rigidity, AI opacity, and ITS fragmentation
- Multi-philosophy framework supports diverse educational approaches
- 100-agent architecture provides comprehensive adaptive support