Use case
From faculty pilot to operational rollout
Start with a few modules and a baseline, prove the change, then make it part of how the faculty runs.
The problem
Individual AI experiments rarely become standard practice. Without a baseline and a plan, a successful pilot stays a pilot.
How it works
- 1
Start with focused modules
Choose the modules where students struggle most, and agree a baseline.
- 2
Prove the change
Measure against the baseline each semester, with dashboards for faculty leadership.
- 3
Build capability
Workshops and a Community of Practice help more lecturers join.
- 4
Make it operational
Move from pilot to the faculty's operational plan, across year groups.
Built with
More use cases
- Gateway module support at scaleWeekly practice and feedback for large first-year modules
- The weekly learning loopSet up, complete, review the gaps, teach the gaps
- Modern assessmentPaper tests, marked against the memo in days
- Augmenting educatorsLecturers build more, and mark consistently
- Embedded tutoringTutors that answer from your own sources
- Student engagement and successLink student effort to better work
Which module would your educators point to first?
Start with one module and a baseline. We'll show you the change before you expand.