{"schema_version":"ICEQC_NEWS_ARTICLE_V1","id":"iceqc-news-48adddfe6a81eeec","slug":"2024-09-09-ai-competency-frameworks-for-students-and-teachers-implications-for-institutional-capability","language":"en","publication_status":"READY_FOR_IMPORT","publication_date":"2024-09-09","last_modified_date":"2024-09-09","title":"AI competency frameworks for students and teachers: implications for institutional capability","summary":"Clarifies the practical meaning of aI competency frameworks for students and teachers: implications for institutional capability and the evidence required to support a reliable.","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":"International competency frameworks released in September 2024","reference_authority":"United Nations Educational, Scientific and Cultural Organization","sections":[{"heading":null,"paragraphs":["Current consideration of AI competency frameworks for students and teachers is informed by the international competency frameworks released in September 2024, with consequences for governance, evidence and the treatment of affected learners. Oversight of aI competency frameworks for students and teachers should reflect the principle that the requirement should be read as an assurance obligation: the provider must be able to explain the control, show its operation and account for material exceptions."]},{"heading":"Applicable scope","paragraphs":["The instrument identified by the international competency frameworks released in September 2024 provides a formal policy reference for AI competency frameworks for students and teachers. In relation to aI competency frameworks for students and teachers, this distinction protects learners from overstated claims and enables providers to plan against a defined obligation.","International artificial-intelligence competency frameworks for students and teachers were released in September 2024. They organise capability around human-centred understanding, ethics, techniques and application, with teacher responsibilities also covering pedagogy and professional development. Competency frameworks guide curriculum and workforce planning; they do not establish that competence has been achieved without suitable learning and assessment evidence."]},{"heading":"Implementation and evidence","paragraphs":["The quality significance of AI competency frameworks for students and teachers follows from a basic distinction between availability and effective provision. For The control, technology may support teaching, administration and access, but consequential educational decisions must remain accountable, explainable and open to effective review.","The analysis of the issue under review should make its decision rule explicit. In reviewing the assurance question, the subject should be examined as a connected system of policy, people, resources, decisions and evidence. Individually sound controls may not operate effectively when decisions, records or responsibility pass between functions. Comparable evidence should be assessed against criteria settled before the result is known."],"bullets":["Who controls each stage?","Where do exceptions occur?","What action is required by the finding?","What outcome is intended?","Which evidence establishes operation?"]},{"heading":"Assessment of conformity","paragraphs":["Responsibility for AI competency frameworks for students and teachers should be visible at the point where consequential decisions are made. For The relevant requirement, evidence is sufficient when it is current, attributable, representative of the relevant scope and capable of being reconciled with other available records. A decision should not be closed at the operating level where material impact, conflict or a significant evidential gap remains unresolved.","Failure in relation to the relevant requirement may arise even where the stated policy is reasonable. Material concerns include loss of meaningful human review, unequal performance across learner groups, automation bias in consequential decisions, and opaque use of personal or inferred data. Review should consider whether an exception is prolonged, recurring or capable of affecting learners outside the cases examined."]},{"heading":"Review and corrective action","paragraphs":["Relevant evidence for AI competency frameworks for students and teachers will normally include documented authority for each consequential use, supplier change and incident records, an inventory of systems and their intended uses, data provenance and access controls, and learner information and accessible challenge routes. Contradictory evidence should be investigated and resolved, not omitted from the record.","The review method for the assurance question should be reproducible. In reviewing The control, responsible bodies should map the complete process, identify the intended result and responsible authority at each stage, and test normal cases together with exceptions. In relation to aI competency frameworks for students and teachers, working papers should allow another competent reviewer to understand the evidence, judgement and treatment of material exceptions.","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. The approving record should explain how an alternative approach satisfies the governing requirement. No complete conclusion should be recorded while a material evidential limitation remains."]},{"heading":"Review and corrective action","paragraphs":["Care is required in drawing conclusions about AI competency frameworks for students and teachers. For the issue under review, a technical capability is not evidence that a use is educationally justified. Accuracy measured in one setting may not transfer to another population, language, curriculum or decision context. In reviewing The stated expectation, the volume of documentation is not a measure of conformity. Relevance, integrity and coverage are more important than the number of records produced. A finding should not be separated from limitations capable of changing how it is understood or applied.","The assurance record for the relevant requirement should retain the date of the evidence, the source responsible for it, the scope examined and the version of any instrument or definition applied. Traceable source and version information allow genuine improvement to be distinguished from administrative revision. A superseded conclusion should be retained where it formed the basis of a material decision.","Where the assurance question involves partners, suppliers or several public bodies, responsibility should be mapped across the complete service. Contractual or inter-agency arrangements should identify who holds records, informs learners and acts on incidents. Multiple delivery partners do not justify fragmented accountability or remedy.","Complete assurance concerning the relevant requirement cannot rest on a single indicator or isolated control."]}],"word_count":820,"content_hash":"sha256-3d4240705a349efff86b77129cbc3e4216eeb935f21a17aba9314241201088a1","seo_keywords":["aI competency frameworks for students and teachers","education quality standards","education quality","ICEQC"],"schema_type":"TechArticle"}