{"schema_version":"ICEQC_NEWS_ARTICLE_V1","id":"iceqc-news-97a1a190ae1e35a6","slug":"2024-03-12-documenting-implementation-of-education-data-governance","language":"en","publication_status":"READY_FOR_IMPORT","publication_date":"2024-03-12","last_modified_date":"2024-03-12","title":"Documenting implementation of education data governance","summary":"Sets out the scope, decision criteria and evidential basis relevant to documenting implementation of education data governance, including the treatment of material limitations.","category":{"code":"STANDARDS_INTERPRETATION","label":"Standards Interpretation"},"article_type":"Standards interpretation","publisher":"International Council for Education Quality Certification (ICEQC)","jurisdictional_scope":"International","historical_reference_basis":"AI, analytics and cross-border systems","reference_authority":"Relevant public authorities and official international sources","sections":[{"heading":null,"paragraphs":["The AI, analytics and cross-border systems provides the immediate reference point for consideration of education data governance in 2024. In reviewing the assurance question, consistent application requires a clear distinction between the required result, recommended methods and examples that may assist implementation. The unit of review should correspond to the full reach of the decision, including significant differences in provision and population.","A proper review the relevant requirement should establish the intended outcome before selecting controls or indicators. A decision concerning the stated expectation should recognise that conformity should not be inferred from a policy document alone; operating records and outcomes should show that the stated arrangements are in use. In relation to documenting implementation of education data governance, a chosen approach should be justified against its context, with departures and review points under documented control."]},{"heading":"Scope and application of documenting implementation of education data governance","paragraphs":["The historical reference basis is the AI, analytics and cross-border systems. Its relevance to education data governance should be assessed against the affected jurisdiction, learner population and form of provision.","The relevant outcome should be capable of direct and consistent explanation. For the stated expectation, technology may support teaching, administration and access, but consequential educational decisions must remain accountable, explainable and open to effective review. Inputs and formal commitments should be distinguished from demonstrated operation and outcome."],"bullets":["Notify users of material limitations.","Retain accountable human decision-makers.","Control personal and confidential information.","Prohibit uses for which evidence or authority is insufficient.","Test performance across relevant groups."]},{"heading":"Evidence required","paragraphs":["In practical terms, education data governance should be reviewed against a stated method rather than general assurance. The analysis of the assurance question proceeds on the basis that a reliable record should identify what occurred, when it occurred, who was responsible, the authority for the action and any later correction. Records should remain protected against unauthorised alteration while legitimate amendments remain visible.","Evidence should be selected against a clearly defined question. For the stated expectation, the most relevant material is likely to include documented authority for each consequential use, supplier change and incident records, an inventory of systems and their intended uses, and records of human review and overrides.","Accountability for the issue under review should follow decision-making authority. In relation to documenting implementation of education data governance, evidence of material risk should be placed before the body with authority to act, together with a traceable decision. Where work is delegated, the record should continue to identify who is accountable for material consequences to learners.","The final record on the issue under review should identify the applicable expectation, the relevant scope, the evidence examined, the sampling basis, material exceptions and the reason for the conclusion. Departure from an illustrative method may be justified where equivalent outcome and evidence are established. A limitation preventing a complete conclusion should remain visible and unresolved until suitable evidence is obtained."]},{"heading":"Decision criteria and exceptions","paragraphs":["Implementation of education data governance can be tested without imposing unnecessary reporting. Review the control should specify mandatory fields, source ownership, access rights, retention and correction procedures. Test a sample from creation through use, amendment, reporting and disposal, including records created during disruption or by a delivery partner. Existing records may be used if reliable and relevant, but data collected for another purpose may not answer the assurance question.","The principal risks in relation to the issue under review are loss of meaningful human review, opaque use of personal or inferred data, automation bias in consequential decisions, and unequal performance across learner groups. A weakness in one part of the control environment may obscure a related failure elsewhere. Review should follow the sequence of decisions and records rather than assess documents in isolation.","Accountability and effective correction both depend on a record that can be followed from evidence to decision. For the stated expectation, 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. Historical decisions should be assessed against the information then available, with later amendments separately dated and explained.","The principal risks associated with the issue under review should be assessed as connected conditions. The evidential basis for the stated expectation should identify source, period, coverage and material limitations. Corroboration is required where a single record cannot support the decision. Accuracy measured in one setting may not transfer to another population, language, curriculum or decision context.","A complete conclusion on the issue under review requires evidence extending beyond an individual measure or safeguard."]}],"word_count":739,"content_hash":"sha256-5c37b14b59b3c83e5d7832535e6337db33f6a113a0d7c61ec82cbb8e7c03d229","seo_keywords":["documenting implementation of education data governance","education quality standards","education quality","ICEQC"],"schema_type":"TechArticle"}