数据与研究分析
Timeliness and completeness of data on teacher workload indicators
Examines teacher workload indicators, addressing timeliness and data completeness and the evidential limits relevant to responsible interpretation and decision-making.
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。
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已发布 1061 篇文章
数据与研究分析
Examines teacher workload indicators, addressing timeliness and data completeness and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines remote assessment, addressing access, participation and outcomes, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines digital inclusion, addressing trend analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines pandemic learning recovery, addressing longitudinal analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines academic integrity incidents, addressing proxy-measure analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines education data-governance maturity, addressing data governance and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines higher education recovery, addressing what current evidence shows, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines higher education recovery, addressing cross-system measurement and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines emergency remote teaching, addressing the available evidence, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines education continuity during COVID-19, addressing methodological considerations, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines institutional preparedness indicators, addressing definitions and comparability and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines remote assessment integrity, addressing cross-system measurement and the evidential limits relevant to responsible interpretation and decision-making.