AI for Students discussion: creative experiments

[jack_tiger]

I wanted to start a broader creative experiments thread around AI for Students.

A useful angle is learning curve, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI for Students is genuinely useful and where it still needs improvement.

 

[coffee_tom]

A useful way to look at AI for Students discussion: creative experiments is to focus first on students and experiments. That tends to make the trade-offs easier to compare. The original point — "I wanted to start a broader creative experiments thread around AI for Students. A useful angle is learning curve, but it also connects with data quality. Different tools and workf…" — gives a useful starting point for that comparison.