Evidence before fashion
We distinguish what is known, what is emerging, and what remains uncertain.
About the practice
Evidence translated into action.
Learning Innovation Practice helps education providers navigate questions where generative AI, assessment, policy, and learning design meet.
Our role
Independent thinking, shaped for your context.
Education institutions are being asked to act on AI while the technology, evidence, and expectations continue to move. Generic answers rarely survive contact with local policy, programmes, and people.
We help teams frame the right problem, make defensible choices, and turn those choices into guidance and practice that staff and students can understand.
What guides the work
Useful work has to be rigorous and usable.
Learning before technology
Assessment validity and educational purpose come before enthusiasm for any tool.
Clarity before complexity
We make expectations, trade-offs, responsibilities, and next steps explicit.
Implementation from the outset
Recommendations are designed around the people who will need to use them.
Areas of work
Where we add the most value
Institutional strategyPriorities, decision frameworks, leadership briefings, and implementation roadmaps.
Assessment redesignLearning outcomes, task design, evidence of learning, and student-facing expectations.
Academic integrityProportionate approaches to integrity, transparency, authorship, and assurance.
Professional learningWorkshops and resources that build shared language and practical capability.
Who we work with
Education teams responsible for difficult decisions.
Universities and colleges
Schools and education groups
Programme and assessment teams
Academic integrity and quality teams
Sector bodies and education partners
Work with us