AI and assessment strategy
Decision frameworks, leadership briefings, roadmaps, and practical priorities for responsible institutional action.
AI, assessment and educational change
Learning Innovation Practice Ltd
We help education providers turn uncertainty about generative AI into sound assessment policy, workable guidance, and confident professional practice.
Research-informedEvidence interpreted for practice
Institution-readyClear outputs teams can use
Context-sensitiveDesigned around local priorities
The challenge
Make better decisions about AI and assessment, then make them work.
Generative AI is changing what counts as valid evidence of learning. Institutions need to review assessment design, set clear expectations, align policy, and equip staff to respond consistently.
Learning Innovation Practice brings those strands together. We turn research and sector developments into practical decisions, resources, and professional learning for real education settings.
What we do
Focused support from strategy to delivery
Commission a defined piece of work or combine services into a wider institutional programme.
Assessment review and redesign
Structured review of tasks, learning outcomes, evidence of learning, permitted AI use, and student guidance.
Professional learning
Workshops and development programmes for educators, programme teams, leaders, and professional services.
Policy and governance
Policy review, implementation guidance, and joined-up approaches to AI, integrity, authorship, and assurance.
How we work
A practical route from uncertainty to implementation
Understand the context
Clarify the decision, the people affected, the evidence available, and the constraints that matter.
Design the response
Develop proportionate policy, assessment, guidance, or professional learning around clear outcomes.
Equip people to deliver
Turn the agreed approach into usable resources, shared understanding, and next steps for implementation.
AI Assessment Scale
Turn AI policy into better assessment design.
The AIAS is not a label for unchanged tasks. Its five levels are practical design patterns for connecting learning outcomes, valid evidence, student judgement, and the role of generative AI.
- 1No AI
- 2AI Planning
- 3AI Collaboration
- 4Full AI
- 5AI Exploration
Enquiries