Why isn't both a valid option, can't one be at a university to both learn and get a degree+GPA showing they did well at doing so? In any case, why does a student selecting that they are there to learn negate the responsibility of the university to provide the best curricula for students to do so with?
The assumption you are making is that students consistently using llms is required by the best curriculum. That’s a big assumption. There may be value educationally in forcing students to learn how to do things on their own that an llm could do for them. And in that case, it’s the student failing their education if they circumvent it with an llm, not the institution’s.
At times there is value in that kind of approach, especially when the learning is specifically about those kinds of lower layers instead of higher concepts. As such, it's not that certain tools should be used in every assignment or never ever used, just whether they should be used commonly.
For most continued learning it's better if the university uses calculators, compilers, prepared learning materials, and other things that do stuff on behalf of the students instead of setting the bar permanently to "the student should want to engage everything at a base level or they must not be here to learn". It allows much more advanced learning to be done in the long run.
Universities do not provide knowledge, this is a romanticization of an ideal. They are about getting a passing grade and a certificate so that you can enter the workforce. The idea that you go to college to get an education is just a polite fiction to appease students and their parents
> Universities and schools must change how they do things with respect to AI, otherwise they are failing the students.
Hard disagree.
Students need to answer a fundamental question of themselves;
If it is the former, the latter doesn't really matter.If it is the latter, the former was not the point to begin with.