|
|
|
|
|
by majeedkazemi
740 days ago
|
|
LLMs are tools. They're not everything. Yes, they can't sympathize or empathize. But if they can help a student to be more productive and learn at the same time, then I'm all in for designing them properly to be used in such educational contexts... "as an additional tool." We need both humans and AI. But there are problems with both, so that's why they can hopefully complement each other. Humans might have limited patience, availability, etc. and AI lacks empathy, and can be over-confident. > Why are we doing this to academia when the better approach would be giving TAs better training in actual teaching? Sure, that is a fantastic idea and some researchers have explored it. But, what's wrong with doing exploratory research, in a real-world deployment? In the paper we describe both where CodeAid failed and where students and educators found it useful, in a very honest way. |
|
Genuine question: Why do we need both humans and AI? What's the evidence base for this statement?
I feel this is another thing that proponents state as if it's unchallengeable fact, an all-progress-is-good thing.
I question this assertion. People have become all too comfortable with it.
(Personal opinion: I don't think teaching needs AI at all, and if it does, a traditional simple expert system with crafted answers would still be better. I think there's a staggering range of opportunities for improving teaching materials that don't involve LLMs, and they are all being ignored because of where the hot money goes.)