数据与研究分析
Micro-credential quality: an international evidence note
Examines micro-credential quality, addressing international evidence review, 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 12 条结果
已发布 1061 篇文章
数据与研究分析
Examines micro-credential quality, addressing international evidence review, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines Education at a Glance 2025, addressing attainment, transitions and persistent inequity, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines learner agency, addressing benchmarking, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines accessible digital services, addressing progress monitoring, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines implementation of digital accessibility obligations, addressing the available evidence, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines micro-credential quality, addressing institutional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines teacher supply and retention, addressing progress monitoring, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines learner agency, addressing reporting coverage and revision risk and the evidential limits relevant to responsible interpretation and decision-making.
数据与研究分析
Examines automated decision oversight, addressing access, participation and outcomes, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines implementation of AI literacy obligations, addressing timeliness and data completeness and the evidential limits relevant to responsible interpretation.
数据与研究分析
Examines data minimisation, addressing longitudinal analysis, source definitions, coverage, comparability, uncertainty and limits on inference.
数据与研究分析
Examines institutional AI policies, addressing trend analysis, source definitions, coverage, comparability, uncertainty and limits on inference.