Summary
AI literacy implementation depends less on tool availability than on teacher professional learning, curricular fit, and school-level governance. Without educator capacity, AI literacy risks becoming tool demonstration or compliance language.
Key evidence signals
- Teacher AI productivity is different from teacher capacity to teach AI literacy.
- Implementation cases should report educator preparation, context, tools, learner audience, safeguards, and evidence of learning.
- Professional learning should include practice, reflection, ethical judgement, accessibility, and assessment design.
Recommendations
- Write educator-capacity indicators next to student AI literacy outcomes.
- Prioritize sustained coaching and professional learning communities over one-time awareness workshops.
- Use cases and community signals to identify where teacher support is most needed.