Why generative AI is now a must for graduate classes
Why generative AI is now a must for graduate classes
Instructors have raised widespread concern about the impact of generative artificial intelligence on undergraduate education.
Instructors have raised widespread concern about the impact of generative artificial intelligence on undergraduate education.
A year after the release of a know-it-all chatbot, educators have yet to find a satisfying answer to a nagging question: What are we supposed to do with generative artificial intelligence?
One reason generative AI has been so perplexing to educators is that there is no single step that all instructors can take to make things easier. Here are a few things what we do know, though:
If you are sitting on the fence, wondering whether to jump into the land of generative AI, take a look at some recent news – and then jump.
In a focus group before the pandemic, I heard some heart-wrenching stories from students.
One was from a young, Black woman who felt isolated and lonely. She mostly blamed herself, but the problems went far beyond her. At one point, she said:
We don’t know the last time the first day of classes was canceled.
We’re guessing it was January 1892, when the temperature fell to minus 23, the bottoms of thermometers shattered, and students started using the phrase “froze my bottom off” (or something approximating that).
Something has been happening with class attendance. Actually, there are several somethings, which I’ll get to shortly. First, though, consider, this:
KU’s big jump in freshman enrollment this academic year ran counter to broader trends in higher education.