Data and research analysis
Data governance in monitoring technology in education
Examines technology in education, addressing data governance and the evidential limits relevant to responsible interpretation and decision-making.
Official updates and analysis
Browse ICEQC news, standards interpretation, quality improvement methods, policy analysis and data research.
Showing 11 of 11 results
1061 published articles
Data and research analysis
Examines technology in education, addressing data governance and the evidential limits relevant to responsible interpretation and decision-making.
Data and research analysis
Examines pISA 2022, addressing the decline in mathematics and reading performance, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines teacher AI capability, addressing cross-system measurement and the evidential limits relevant to responsible interpretation and decision-making.
Data and research analysis
Examines technology in education, addressing cross-system comparability and the evidential limits relevant to responsible interpretation and decision-making.
Data and research analysis
Examines technology in education, addressing evidence, access and the limits of solution-led policy, source definitions, coverage, comparability.
Data and research analysis
Examines implementation of global qualification-recognition duties, addressing data-quality analysis and the evidential limits relevant to responsible interpretation.
Data and research analysis
Examines implementation of global qualification-recognition duties, addressing regional variation, source definitions, coverage, comparability.
Data and research analysis
Examines learner data privacy, addressing data-quality analysis and the evidential limits relevant to responsible interpretation and decision-making.
Data and research analysis
Examines AI-supported assessment, addressing the available evidence, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines academic integrity, addressing international evidence review, source definitions, coverage, comparability, uncertainty and limits on inference.
Data and research analysis
Examines AI-supported assessment, addressing evidence, coverage and limitations and the evidential limits relevant to responsible interpretation and decision-making.