> For example, in Machine Learning our projects are sometimes extremely long and repetitive. Because before AI, it was a valuable skill to be able to recall APIs quickly (what is the method to drop duplicates in a dataframe again?).
> But today that's no longer the truth, and for the better. I am happy students don't have to go over the same repetitive low-value processes that I had to go to. Students can now focus on more high level valuable tasks: understand the domain, compare evaluation methods, compare models, balance tradeoffs, present solutions/reports, etc.
You honestly believe that students that don't have the tenacity to stick with learning a simple set of verbs and grammar are going to have the tenacity to learn concepts steeped in jargon?
I do mean learn, which AI use has been repeatedly shown to be detrimental to.
> But today that's no longer the truth, and for the better. I am happy students don't have to go over the same repetitive low-value processes that I had to go to. Students can now focus on more high level valuable tasks: understand the domain, compare evaluation methods, compare models, balance tradeoffs, present solutions/reports, etc.
You honestly believe that students that don't have the tenacity to stick with learning a simple set of verbs and grammar are going to have the tenacity to learn concepts steeped in jargon?
I do mean learn, which AI use has been repeatedly shown to be detrimental to.