Data and research analysis
Micro-credential quality: an international evidence note
Examines micro-credential quality, addressing international evidence review, source definitions, coverage, comparability, uncertainty and limits on inference.
Official updates and analysis
Browse ICEQC news, standards interpretation, quality improvement methods, policy analysis and data research.
Showing 12 of 12 results
1061 published articles
Data and research analysis
Examines micro-credential quality, addressing international evidence review, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines Education at a Glance 2025, addressing attainment, transitions and persistent inequity, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines learner agency, addressing benchmarking, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines accessible digital services, addressing progress monitoring, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines implementation of digital accessibility obligations, addressing the available evidence, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines micro-credential quality, addressing institutional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines teacher supply and retention, addressing progress monitoring, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines learner agency, addressing reporting coverage and revision risk and the evidential limits relevant to responsible interpretation and decision-making.
Data and research analysis
Examines automated decision oversight, addressing access, participation and outcomes, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines implementation of AI literacy obligations, addressing timeliness and data completeness and the evidential limits relevant to responsible interpretation.
Data and research analysis
Examines data minimisation, addressing longitudinal analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines institutional AI policies, addressing trend analysis, source definitions, coverage, comparability, uncertainty and limits on inference.