🤖 AI in Education
How AI Works & The Role of Machine Learning
Big Idea:
AI algorithms reflect and distort human patterns in educational data.
Essential Question:
How do machine learning algorithms mirror human patterns—and where do they distort them?
🔍 Today’s Learning Objectives
- Explain core machine learning concepts
- Analyze how AI systems learn from educational data
- Identify how AI can reflect or distort patterns
- Evaluate the impact of algorithm design in schools
⏳ Today’s Agenda
- Opening Pattern Challenge
- Machine Learning Lecture + Demos
- Hands-On Zog Activities
- ML Application Design Project
- Algorithm Analysis (Formative Check)
- Reflection & Preview
🧩 Pattern Challenge
Can you identify the pattern?
Discuss:
What made some patterns easy or hard to spot?
Jigsaw Activity
Debrief
💡 Intro to Machine Learning
Key Terms:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
ML ≠ Magic
It's pattern recognition — with flaws.
🔄 How Machines Learn from Data
🔬 In Education, ML is Used To:
🔄 Activity Time: Zog Learning Simulation
Three Paths:
🧠 Debrief Discussion
☕ Break Time (10 minutes)
🛠️ Applied Learning Project
🧾 Use the Graphic Organizer
✏️ Educational Domains (Choose One)
📣 Group Presentations
🧪 Formative Assessment
✅ Success Criteria
🧠 Closing Reflection
📅 Coming Projects
| Project | Due | Description |
|---|---|---|
| AI Tool Analysis | Week 4 | Analyze a real tool |
| Ethical Framework | Week 8 | Build your own AI ethics model |
| Implementation Plan | Week 14 | Propose an AI integration for schools |