← All workAI & automation
Exploration

Exploring AI support without outsourcing judgement.

Investigating AI-assisted assessment and marking workflows with professional oversight.

APPROACH

Iterative exploration

Relevant to responsible AI evaluation and quality-controlled operational workflows.

Human reviewA design requirement
01 / THE CHALLENGE

Explore whether AI can support assessment tasks while retaining quality and accountability.

This is innovation research and experimentation, rather than a formally deployed institutional marking system.

02 / THE APPROACH

Understand. Build. Refine.

  1. 01

    Considered where assistance might support repetitive assessment work.

  2. 02

    Kept assessment criteria and professional judgement central.

  3. 03

    Examined how generated suggestions would need checking before use.

03 / THE EVIDENCE

What changed.

Exploration informed thinking about possible workflows. No automated grading deployment, accuracy score or institution-wide impact is claimed.

04 / REFLECTION

What I would carry forward.

Efficiency should never come at the expense of fairness, explainability or learner trust.

What I’d test next

Use approved, anonymised examples and compare outputs against expert assessment before any pilot.

Beyond education

Relevant to responsible AI evaluation and quality-controlled operational workflows.

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