Examines implementation of global qualification-recognition duties, addressing data-quality analysis and the evidential limits relevant to responsible interpretation.
Explains institutional arrangements in relation to AI-supported assessment, covering scope, evidence, decision authority, material exceptions and continuing assurance.
Explains record integrity in relation to learner data privacy, covering scope, evidence, decision authority, material exceptions and continuing assurance.
Sets out risk-based improvement planning as an evidence-led approach to AI-supported assessment, covering responsibility, outcome evidence and sustained effect.
Sets out a staged improvement plan for global qualification recognition in force, covering diagnosis, responsible action, outcome evidence and sustained effect.
Explains scope and applicability in relation to learner data privacy, with attention to decision authority, material exceptions and continuing assurance.
Sets out a controlled approach to monitoring the effectiveness of learner data privacy, covering diagnosis, responsible action, outcome evidence and sustained effect.
Sets out a structured improvement method as an evidence-led approach to AI-supported assessment, covering responsibility, outcome evidence and sustained effect.