LLMs also take away the motivation from students to properly concentrate and deeply understand a technical problem (including but not limited to coding problems); instead, they copy, paste and move on without understanding. The electronic calculator analogy might be appropriate: it's a tool appropriate once you have learned how to do the calculations by hand. In an experiment (six months long, twice repeated, so a on…
I wish I had an LLM as a student because I couldn’t afford a tutor and googling for information was tedious. It’s the college’s responsbility now to teach students how to harness the power of LLMs effectively. They can’t keep their heads in the sand forever.
And then eventually overall we learned what the limits of Wikipedia are. We know that it’s generally a pretty good resource for high level information and it’s more accurate for some things than for others. It’s still definitely a problem that Wikipedia can confidently publish unverified information (IIRC wasn’t the Scottish translation famously hilariously wrong and mostly written by an editor with no experience with the language?)
And yet, I think if these days people were publishing think pieces about how Wikipedia is ruining the ability of students to learn, or advocating that people shouldn’t ever use Wikipedia to learn something, we’d largely consider them crackpots, or at the very least out of touch.
I think AI tools are going to follow the same trajectory. Eventually we’ll gain enough cultural knowledge of their strengths and weaknesses to apply them properly and in the end they’ll be another valuable asset in our ever growing lists of tools.