Pilot Implementation & Evaluation
Scope it, run it, evaluate it, then decide: expand, adapt or stop.
WORLDWISE LEARNING
A bounded pilot with agreed participants, success criteria and a final recommendation to expand, adapt or stop.
A small pilot cannot promise learner outcomes; findings apply to the agreed context.
Spoken in English. Subtitles: English, Vietnamese and Chinese together, or any of 11 languages.
Illustrated motion graphics by WorldWise Learning. The presenter, Alex, is an AI avatar with an AI voice, made with Google Vids. Examples are illustrative; they are not real clients, staff or results.
How a pilot runs
Scope it together
One course task, one learner group, a named faculty owner and success criteria agreed before practice begins.
Run it with support
Setup, staff onboarding and scheduled implementation support. Faculty approve the prompts and rubric; a named lead can pause the pilot.
Evaluate, then decide
Evaluation of learning, staff workload and system reliability, then a final recommendation to expand, adapt or stop.
What you receive
- A written scope, responsibilities and decision gates
- A configured demonstration environment
- An evaluation report with an expand, adapt or stop recommendation
How to start
- Send a short enquiry: the course task, learner group and faculty owner. Keep student records out of it.
- We agree the scope, success criteria and data boundaries.
- Setup and staff onboarding begin.
- Evaluation, then a final recommendation.
A small pilot cannot promise learner outcomes; findings apply to the agreed context.
About this film
A 40-second illustrated film on how a WorldWise Learning pilot works: scope it together (one course task, one learner group, a named faculty owner and success criteria agreed before practice begins), run it with setup, staff onboarding and support while faculty approve prompts and rubric, then evaluate learning, staff workload and reliability and recommend a clear next step: expand, adapt or stop.
Transcript
- Hi, I'm Alex, from WorldWise Learning. Want to try AI in one of your courses?
- Start with a bounded pilot, and let the evidence decide.
- First, we scope it together: one course task, one learner group,
- a named faculty owner, and success criteria agreed before practice begins.
- Then we set up the system, onboard your staff and support delivery.
- Faculty approve the prompts and the rubric, and a named lead can pause it.
- Finally, we evaluate learning, staff workload and reliability,
- and recommend a clear next step: expand, adapt or stop. Let's discuss a pilot.