Standards interpretation

Evidence sufficiency in relation to education data governance

Standards Interpretation

Review of evidence sufficiency in relation to education data governance sets out the evidence, authority and controls needed to reach and maintain a defensible conclusion.

For the conclusion, the central issue is the meaning of the expectation in practice, including its scope, the evidence needed to demonstrate it and the circumstances in which it may not apply.

Application of the evidence to evidence sufficiency in relation to education data governance

The reference point is developments in AI, analytics and cross-border systems. Its wider significance does not replace evidence of how education data governance operates in the affected setting.

Controls relevant to evidence sufficiency in relation to education data governance

In the context of education data governance, the central objective should not be obscured by the form of the administrative response.

For decisions concerning education data governance, analysis should make its decision rule explicit. Evidence concerning education data governance should be relevant to the stated requirement, sufficiently complete for the affected scope, current for the decision period and attributable to a source with knowledge or control of the matter. Volume does not cure a gap in relevance.

  • What fact must be established?
  • What would require expanded testing?
  • Is the evidence current and attributable?
  • Do independent sources agree?
  • Does it cover the material scope?

Review criteria for evidence sufficiency in relation to education data governance

In examining evidence sufficiency in relation to education data governance, across the defined scope, a provider should be able to trace the expectation from approved policy through implementation, monitoring, identified exceptions and corrective action.

Failure in relation to the applicable expectation may arise even where the stated policy is reasonable. Material concerns include loss of meaningful human review, automation bias in consequential decisions, unequal performance across learner groups, and opaque use of personal or inferred data.

Implications for evidence sufficiency in relation to education data governance

Assurance of education data governance should draw on more than one form of evidence. Useful records include data provenance and access controls, documented authority for each consequential use, records of human review and overrides, supplier change and incident records, and pre-deployment and periodic performance testing.

A competent review of the applicable expectation should define the proposition to be established, identify the minimum combination of records, test authenticity and reconcile contradictions. In the context of education data governance, expand the sample where an exception, complaint or material unexplained variation indicates that the initial evidence may not be representative.

Interpretation of education data governance should produce a test that another competent reviewer can apply to comparable evidence.

Evidence considered for evidence sufficiency in relation to education data governance

Proportionality in relation to education data governance does not mean reduced protection for learners exposed to greater risk. For the applicable requirement, an isolated example cannot establish consistent operation, and an isolated failure should be evaluated for materiality, recurrence and systemic effect.

Across the defined scope, a traceable record enables responsibility to be established and errors to be corrected fairly. For the matter, the responsible body should be able to identify the evidence considered, the judgement made, the person or body authorised to make it and the action that followed. For education data governance, a material amendment should record its reason and effective date, preserving the information basis of earlier decisions.

When examining education data governance, progress should not be assessed by the amount of policy or documentation produced.