Industry application

AI Workflow Automation in Education and Skills: A Practical Design

Course performance, employer feedback, assessment evidence and curriculum changes are reviewed on different cycles, making it difficult to connect a proposed change to evidence.

Programme decisions draw on evidence collected at different times

Course performance, employer feedback, assessment evidence and curriculum changes are reviewed on different cycles, making it difficult to connect a proposed change to evidence.

Build one review route from evidence to academic approval

The workflow should collect the approved evidence, standardise programme measures, identify material gaps, connect them with proposed curriculum changes, route academic review and record the approved action. The route should preserve cohort definitions and distinguish measured outcomes from qualitative feedback. Academic committees, rather than the workflow, remain responsible for curriculum judgement and any decision that affects progression or assessment.

A programme review with conflicting signals

An annual programme review combines assessment results, employer feedback and curriculum changes collected on different cycles. The workflow should standardise the evidence, identify material gaps and preserve which committee owns each academic judgement.

Cohorts and measures must remain comparable

A higher completion rate may reflect a changed assessment rule, a different student mix or a real improvement in learning. The workflow must make those explanations visible before it connects the result to a curriculum change. Without that comparison, a tidy review pack can give weak evidence more authority than it deserves.

Retain the evidence behind each proposed change

The workflow depends on attendance, assessment, learning activity, student support, employer feedback, programme outcomes and equity measures. The programme file should identify each cohort, measure definition, employer or learner source, proposed change, committee owner and approved response. Missing or incomparable evidence must remain visible instead of disappearing inside a combined score.

Challenge the route with incomplete and incomparable cohorts

The pilot should include small cohorts, changed assessments, missing employer feedback and programme measures whose definitions changed during the review period. Committee members should be able to separate absent evidence from an adverse result. Combining both into one automated judgement would make the review appear more certain than the records permit.

Academic ownership must remain visible

Management should specify which committee interprets each finding, who approves a curriculum change and how the institution records a dissenting view. The route may prepare evidence and follow an action, but it should not convert a statistical association or a summary of comments into an academic decision.

Completion means an approved and traceable response

The output is a review pack linking proposed changes to evidence and approval. Test missing cohorts, changed outcome definitions and qualitative feedback that conflicts with headline performance.

Evaluate whether decisions improve learning and access

Judge the route by review timeliness, unresolved evidence, committee correction, staff effort and the implementation of approved changes. Subsequent learning, access and learner-support outcomes should be compared across cohorts; the review is useful only when it supports a better academic decision. Marketways applies Business Systems Design and Architecture within the realities of education and skills.

References

  1. UNESCO, AI and education: Protecting the rights of learners
  2. NIST AI Risk Management Framework