Official information
ICEQC notices and source-led analysis of education evidence, policy and regulatory instruments.
Showing 12 of 52 results
1061 published articles
Policy and regulatory analysis
Analysis of digital transformation separates legal effect from policy context and identifies institutional responsibility, safeguards and public-interest risk.
Standards interpretation
Review of interpreting effective implementation of institutional green education sets out the evidence, authority and controls needed to reach and maintain a defensible conclusion.
Standards interpretation
Controls for consistency in the assessment of digital transformation are examined from initial evidence through exceptions, decision authority and continuing assurance.
Data and research analysis
Review of education at a Glance 2022 addresses the unit of analysis, source definitions, missing data and transfer beyond the reported setting.
Policy and regulatory analysis
The article examines the Transforming Education Summit, distinguishing binding duties, policy commitments and the controls needed for accountable implementation.
Data and research analysis
This review considers education reform implementation, with attention to data provenance, population coverage, stable definitions and appropriate limits on inference.
Standards interpretation
Analysis of records required to substantiate foundational learning improvement separates stated requirements, evidence of operation and continuing effectiveness.
Data and research analysis
The analysis of evidence gaps affecting flexible learning pathways identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.
Quality improvement method
Work on ownership and follow-through for flexible learning pathways is structured around a defined baseline, accountable action, outcome evidence and verification before closure.
Quality improvement method
The article treats setting effective measures for foundational learning as a controlled process requiring clear ownership, outcome evidence and review of residual risk.
Data and research analysis
The analysis of data quality in reporting foundational learning identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.
Quality improvement method
The article treats micro-credentials as a controlled process requiring clear ownership, outcome evidence and review of residual risk.
