The wish for an _AI revolution_ in learning seems to have been granted by a monkey's paw. Articles like this, or [0], or browsing r/teachers [1], or even talking close-ones in college, give a rather grim view of AI use.

A para from from [0] makes it seem that students understand that LLM use doesn't lead to learning, but still do so. Do they not see effort put into learning worthwhile?

  A few months ago, I overheard some college students talking about their classes.
  One was complaining about an assignment they needed to do that night, and
  another incredulously asked why they wouldn’t just have ChatGPT do it. The first
  replied, “This is my major, I actually need to learn stuff in this class. I use
  AI for my other classes.”

I myself use LLMs for learning (using ChatGPT's study mode for instance r.i.p) and can see that there's a right way to use it—you reach for it when you hit a wall, not to avoid the friction of developing an understanding.

From what I understand tho, most of LLM use for learning is just LLM used as a tool for cheating. Even tfa mentions something of the sort:

  few of Musall’s most advanced students have taken advantage of AI to learn new
  topics. But, as far as she can tell, more students are using it to just find
  answers

The article attributes _skill issue_ as part of the problem, but how much of that is a motivation or awareness issue. How do you make student realize that learning is worth it?

[0] https://arstechnica.com/science/2026/04/to-teach-in-the-time...

[1] https://www.reddit.com/r/Teachers/