数据与研究分析
Interpreting institutional variation in climate education
Examines climate education, addressing institutional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
新闻与出版物
浏览国际教育质量认证委员会的新闻、标准更新和研究。
显示 12 条,共 262 条结果
已发布 1061 篇文章
数据与研究分析
Examines climate education, addressing institutional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines establishing a baseline for education data-governance maturity, addressing the available evidence, source definitions, coverage, comparability.
数据与研究分析
Examines climate education, addressing trend analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines post-PISA improvement planning, addressing data governance and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines SDG 4 progress, addressing regional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines cross-border provision, addressing measurement and statistical uncertainty and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines technology in education, addressing data governance and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines pISA 2022, addressing the decline in mathematics and reading performance, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines teacher AI capability, addressing cross-system measurement and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines technology in education, addressing cross-system comparability and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines technology in education, addressing evidence, access and the limits of solution-led policy, source definitions, coverage, comparability.
数据与研究分析
Examines implementation of global qualification-recognition duties, addressing data-quality analysis and the evidential limits relevant to responsible interpretation.