University education as we know it is over by Simas Kucinskas

AI now solves university assignments perfectly in minutes. Students often use LLMs as a crutch rather than as a tutor, getting answers without understanding. To address these problems, I propose a barbell strategy: pure fundamentals (no AI) on one end, full-on AI projects on the other, with no mushy middle. Universities should focus on fundamentals.

Take home assignments are useless if the end product of it is a report. Of course you can use LLMs to do everything. Focusing on the fundamentals with no AI use makes sense. Focusing on full AI use also makes sense. With the amount of workload a student is usually under, it might not be possible to not take a shortcut for all subjects.

The End of Handwriting by Angela Watercutter

When so much of that thinking can be offloaded to AI, going analog begins to look like one of the only ways to test comprehension, fairness be damned. After all, previous kinds of technology—like graphing calculators—also forced teachers to make kids write things out longhand. Literally showing one’s work, in writing, became the way students evinced that they understood what the machines did. As AI creeps into schoolwork, handwriting won’t die so much as, once again, provide proof of life.

I have not handwritten anything since I left college. Till that point we were writing mostly on paper.

I did not have beautiful handwriting. I prefer typing to writing. The ideas matter.

Education expert blames Finland's neglect of gifted students for PISA rankings decline by YLE

"If everyone studies exactly the same content and does the same tasks, the weakest fall behind and the most gifted get bored," she said, adding that this boredom and loss of motivation are linked to underperformance.

Makes sense, if, how mentioned in this article all the gifted children do is assist their teachers. They should get time to explore things on their own, not just help others get better.