About Course
Level 4: AI MENTOR – AI Roadmap for Educators
The greatest barrier to instructional coaching is time and subjectivity. This course introduces “Data-Driven Mentorship,” where AI acts as a neutral observer. You will master tools like TeachFX, which uses AI to measure teacher-to-student talk ratios, wait time, and question quality. You will learn to move from “I felt the lesson went well” to “The data shows student talk increased by 20% when you used open-ended prompts.”
Benefits of Attending
- Reduced Burnout: Let AI do the “observation heavy lifting” while you focus on the human coaching conversation.
- Objective Credibility: Build trust with faculty by providing data-backed feedback rather than personal opinion.
- Scalability: Learn how to coach an entire department simultaneously using asynchronous AI reports.
Expected Outcomes
- A “Coaching Playbook” featuring specific AI-driven reflection protocols.
- Successful completion of a Peer-Coaching Pilot using TeachFX data.
- Ability to present school-wide Instructional Trends to leadership without compromising individual teacher privacy.
Course Content
Module 1: The New Mirror: Intro to AI Lesson Analysis
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The New Mirror: Intro to AI Lesson Analysis
00:00 -
Module 1 Quiz
Module 2: The Anatomy of a TeachFX Report
Module 3: Pre-Coaching: Creating a Safe Culture
Module 4: The AI-Driven Feedback Conversation
Module 5: Scaling Success with PLCs
Module 6: Advanced Metrics: Wait Time and Socratic Loops
Module 7: Remote & Asynchronous Coaching Workflows
Module 8: Capstone: The Mentor’s Case Study
Expected Outcomes & Summary — Final Reflection and Course Conclusion
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