What happened
UNESCO IITE and Shanghai Open University systematically analysed 36 national, institutional, and academic teacher AI competency frameworks to assess their coverage of AI literacy, implementation scenarios, and evaluation methods. The report organizes the analysis into four steps — AI competency aspects, multi-level implementation scenarios (strategic, tactical, operational), approaches to evaluating teacher AI competence, and design recommendations — and concludes with a checklist for building national teacher AI competency frameworks. It is explicitly aimed at policymakers designing frameworks that 'promote consistent high-quality teacher development in AI.'
Why it matters
For organizations and governments building AI-literacy and workforce-competency programs, this is the authoritative cross-jurisdiction benchmark of what teacher-AI-competency frameworks actually cover and how they are assessed.
Action needed
Use the 36-framework analysis and checklist to benchmark any existing AI-competency or digital-skills program against global practice before investing in new curriculum design.