Build a reflective AI practice over time
Beginner
K-12 Educator
Higher Education Educator
School Leader
Microsoft Copilot
Many AI decisions feel fine in the moment, then create surprises later. A draft message might save time, but the tone may land differently than expected. A summary might look accurate, but miss a pattern that matters for a student. Reflection is how educators turn one time AI use into professional learning rather than repeated guesswork.
Learning objectives
Upon completion of this module, you'll be able to:
- Document an AI-supported decision using a short, repeatable decision log.
- Analyze outcomes over time and identify one pattern that suggests an adjustment.
- Select one adjustment that increases learning quality, integrity, privacy, or trust.
- Design a short explanation that communicates what the system did and what the educator decided.
- Design simple explanations of AI use that keep responsibility visible for students, colleagues, and families.
- Educator - Leader
- Educator - Learner
- Educator - Collaborator
- Educator - Designer
- Educator - Facilitator
- Leaders - Empowering Leader
UNESCO Standards for Educators:
- Application of digital skills
- Pedagogy
- Teacher professional learning
UNESCO AI Competency Framework:
- AI foundations and applications
- AI pedagogy
- AI for professional development