Official information
ICEQC notices and source-led analysis of education evidence, policy and regulatory instruments.
Showing 12 of 49 results
1061 published articles
Data and research analysis
Review of measuring teacher AI capability across education systems addresses the unit of analysis, source definitions, missing data and transfer beyond the reported setting.
Policy and regulatory analysis
The public-interest questions raised by generative AI in education are assessed through lawful responsibility, implementation evidence and transparent follow-up.
Data and research analysis
Evidence concerning cross-system comparability in technology in education is reviewed for source definitions, coverage, comparability, uncertainty and limits on inference.
Policy and regulatory analysis
The implications of technology in education are examined through governance, implementation and public accountability, without treating commitment as proof of effect.
Standards interpretation
Review of digital inclusion and access arrangements sets out the evidence, authority and controls needed to reach and maintain a defensible conclusion.
Data and research analysis
The analysis of technology in education identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.
Standards interpretation
Review of governance evidence relating to SDG 4 at the midpoint sets out the evidence, authority and controls needed to reach and maintain a defensible conclusion.
Quality improvement method
This practice note explains how SDG 4 at the midpoint should be scoped, implemented and verified, with closure dependent on demonstrated effect.
Standards interpretation
Review of transparency requirements associated with SDG 4 at the midpoint sets out the evidence, authority and controls needed to reach and maintain a defensible conclusion.
Policy and regulatory analysis
Analysis of SDG 4 at the midpoint separates legal effect from policy context and identifies institutional responsibility, safeguards and public-interest risk.
Quality improvement method
Improvement planning for SDG 4 at the midpoint under constrained resources — diagnosis, responsible ownership, effectiveness measures and closure evidence.
Policy and regulatory analysis
Analysis of learner data privacy separates legal effect from policy context and identifies institutional responsibility, safeguards and public-interest risk.
