The reliability of evidence on data governance in monitoring technology in education is examined together with the limits that apply when findings inform consequential decisions.
Review of measuring teacher AI capability across education systems addresses the unit of analysis, source definitions, missing data and transfer beyond the reported setting.
Evidence concerning cross-system comparability in technology in education is reviewed for source definitions, coverage, comparability, uncertainty and limits on inference.
The analysis of technology in education identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.
The analysis of data quality in reporting implementation of global identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.
Review of implementation of global qualification-recognition duties addresses the unit of analysis, source definitions, missing data and transfer beyond the reported setting.
The reliability of evidence on data quality in reporting learner data privacy is examined together with the limits that apply when findings inform consequential decisions.
The article examines a disaggregated analysis of AI-supported assessment, separating supported observations from causal claims and identifying where further evidence is required.
The analysis of AI-supported assessment identifies what the evidence establishes, where comparison is limited and which qualifications must be reported.