From Asking to Structuring: Designing AI Interaction
This Friday develops the unit's collaboration move through the specified literacy lens and prepares participants for the associated evidence-based challenge.
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 learn to stop treating model variability as inexplicable noise. They learn to hold a task stable, vary one generation condition, repeat trials, and use the resulting evidence to decide when variability is useful, when it is risky, and which controls are appropriate.
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.