From Asking to Structuring: Designing AI Interaction
Participants compare a direct request with a supplied five-phase collaboration process. They learn to shape context, make decisions and judge results through evidence.
Collaboration level 1
Instruction
The human structures the request and specifies goals, context, constraints, evidence expectations, and response form.
Course design relevance
What this level changes
Ask participants to predict how explicit instructions or execution conditions should change observable output.
Related units
Where this move becomes visible
Some units use the level as their primary move; others use it as a baseline or supporting collaboration condition.
Why Models Behave Differently: Parameters, Variability, and Control
Participants hold a task steady, vary one condition and repeat trials. They use the evidence to decide when variation helps, when it creates risk and which checks are needed.
From Opinion to Evidence: Grounding AI in Data and Sources
Participants learn that fluent output is only as defensible as the information made available to the model. They learn to inspect source selection, retrieval, chunking, citation, and claim support rather than treating a grounded answer as reliable merely because it contains references.