数据与研究分析
SDG 4 progress: interpreting regional variation
Examines SDG 4 progress, addressing regional 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 1061 条结果
已发布 1061 篇文章
数据与研究分析
Examines SDG 4 progress, addressing regional variation, source definitions, coverage, comparability, uncertainty and limits on inference.
标准解读
Explains implementation records in relation to education data governance, covering scope, evidence, decision authority, material exceptions and continuing assurance.
标准解读
Explains risk-based assurance in relation to climate education, covering scope, evidence, decision authority, material exceptions and continuing assurance.
标准解读
Explains effectiveness assessment in relation to education data governance, covering scope, evidence, decision authority, material exceptions and continuing assurance.
质量改进方法
Sets out outcome measurement as an evidence-led approach to student wellbeing, covering responsibility, outcome evidence and sustained effect.
质量改进方法
Sets out a corrective-action cycle for student wellbeing, covering diagnosis, responsible action, outcome evidence and sustained effect.
标准解读
Explains risk-based assurance in relation to post-PISA improvement planning, covering scope, evidence, decision authority, material exceptions and continuing assurance.
标准解读
Explains cross-setting evidence in relation to cyber resilience, with attention to decision authority, material exceptions and continuing assurance.
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.
政策与监管分析
Examines SDG 4 progress through implementation of policy commitments, clarifying legal effect, institutional responsibility, learner safeguards and public-interest risk.
政策与监管分析
Examines climate education through implementation risk, clarifying legal effect, institutional responsibility, learner safeguards and public-interest risk.
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.