Specialty Track: Educators
The AI-Ready Instructor Path
Who This Track Is For
K-12 teachers, college instructors, tutors, and instructional designers who want to integrate AI into their teaching practice responsibly and effectively.
Your Pathway Through the Course
Essential Modules (Do These First)
| Order | Module | Why It Matters for You |
|---|---|---|
| 1 | M1 — What Is AI? | Understand what you’re bringing into your classroom |
| 2 | M4 — Prompting | BRIEFS + SMARTS are the core teaching tools |
| 3 | M10 — Ethics | You’ll need an AI use policy before day one |
| 4 | M11 — Across Disciplines | ELEVATE data, student outcomes, implementation models |
| 5 | M8 — Agents & GPTs | Build custom tutoring GPTs for your courses |
Recommended Additions
| Module | What You’ll Get |
|---|---|
| M5 — Research | Teach students to verify AI-generated claims |
| M3 — LLMs | Understand hallucination well enough to explain it |
Key Resources
- Lab 4: BRIEFS Before/After Experiment — assign this to your students
- Lab 8: Build a course-specific custom GPT
- Appendix: Policy Templates (Template 1: Classroom AI Use Policy)
- Appendix: Prompt Library, Part 6 (Teaching and Learning prompts)
- Framework Cards: SMARTS card — the tutoring interaction model
Your Capstone (Modified)
Design an AI integration plan for ONE course you teach. Include: learning objectives AI supports, the tools you’ll use, your classroom AI policy, one SMARTS-based tutoring activity, and how you’ll assess whether AI improved learning outcomes.
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