AIYING | V1.0 — REGULAR VIEW
The Workshop Ends. What Happens to the Learning?
By Ravindra Dastikop
The following is an illustrative situation, not a report of a specific workshop.
A college conducts an AI workshop. Participants explore a tool, try prompts, and produce their first useful outputs. Questions flow. The session ends with enthusiasm.
A week later, the organiser asks: “What have you applied?”
One participant has adapted an exercise to a real task. Another tried, encountered a problem, and stopped. Others have not found a suitable opportunity.
The workshop delivered an experience. Whether that experience becomes sustained practice remains an open question.
The tension: a shared session, different starting points
Participants leave the same workshop with different needs.
One needs a task worth attempting. Another needs feedback. Someone else needs access to an approved tool. A confident participant may need a harder challenge.
A presentation and a set of prompts can support them, but each person still has to bridge the distance between a guided exercise and their own circumstances.
What would count as success?
Attendance tells us who was present. Satisfaction tells us how participants experienced the session. A completed exercise shows what they accomplished with guidance.
To understand application, we need additional evidence:
- What task did the participant attempt afterwards?
- What did they produce or change?
- How did they check the result?
- Where did they need help?
These questions distinguish a promising learning experience from demonstrated use.
Where AI fits
AI can help participants adapt an exercise, explain an unfamiliar step, or explore alternatives when they get stuck.
But access to AI does not establish that learning has transferred. An output still needs checking. A participant still needs to explain their choices. Institutional rules and the suitability of the task still matter.
The practical question is therefore broader than which AI tool to teach: what support helps participants use their learning in a real situation?
A useful first step
For the next workshop, invite participants to attempt one relevant task within seven days. Ask them to return with a small piece of evidence: an output, their verification, and one unresolved difficulty.
This is a proposed test, not a reported outcome. It would help the organiser see where application happens and where support is missing.
A workshop’s lasting value becomes visible in what participants can subsequently do.
The question for V2.0 — Generative View
“Where could a situation acquire the capacity to generate its own next possibilities?”
Applied here: Where could this workshop acquire the capacity to generate its own next learning opportunities?
This is the question for the next exploration.
Good post
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