Part 1 of 10

Introduction & System Overview

⏱️ 30 minutes 9:00 - 9:30 AM

1.1 Welcome & Icebreaker (5 minutes)

Participant introductions
Quick poll: "What's your biggest challenge in personalizing learning?"

1.2 The Adaptive Learning Problem (10 minutes)

Three Critical Challenges:

Philosophy rigidity: Traditional systems designed for single pedagogy
AI opacity: Black-box decisions without transparency
ITS fragmentation: Narrow focus (cognitive OR assessment, not both)

Real-World Impact:

Students transfer institutions → learning history lost
Teachers can't validate AI recommendations
Systems can't adapt to diverse learner needs

Interactive Element: Show failed example of student struggling with mismatched content

1.3 UALS Solution Overview (15 minutes)

Four Key Innovations:

1. Multi-Philosophy Framework

Curriculum-based: Domain → Subdomain → Concept
Competency-based: Category → Competency → Proficiency
Same UI, different content generation

2. Three Learning Modes

Knowledge Explorer (KE): Exploration and discovery
Socratic Playground (SPL): Guided inquiry
Scenario-Based CAT (SBCAT): Adaptive assessment

3. 100-Agent ITS

30 production-ready, 70 extended
17 categories (learner modeling, pedagogy, ethics, neuroscience)
10 coordination levels (4-100 agents, 1-40s)

4. Explainable AI

"Show AI Thinking" workflow visualization
Complete transparency for trust-building

Interactive Demo

Live demonstration of switching between curriculum and competency modes

View Dashboard

Key Takeaways

UALS solves three critical problems: philosophy rigidity, AI opacity, and ITS fragmentation
Multi-philosophy framework supports both curriculum and competency-based learning
Three learning modes provide exploration, inquiry, and assessment
100-agent architecture provides comprehensive adaptive support