This tempts users to approach problems by first feeding them into the LLM and then simply following the route the LLM lays out, which does improve task completion time for tasks that the LLM can simply regurgitate, but it stops the user from developing the actual critical thinking skills that school is supposed to teach.
The description of the paper also said:
AI users who maintain similar homework completion time as non-AI users experience small learning losses.
This was a surprise too me. I would have thought otherwise.
Would love to see some evidence about if more or less people fall behind and have worse results. In my head the AI should be able to get the weakest students a bit highere.
I think the evidence so far is all students lose learning and cognition, but the brighter students lose less.
From https://cepr.org/publications/dp21577 :
The losses are largest in social science subjects, followed by STEM and languages, and are especially large for junior students, high-achieving students, and boys.
No mention of the weakest student. Which probably means they did not have a significant worse or better score
This basically models how the intellectual work is going to be overwhelmingly done in the future.