Dagmar Monet
Director of Computer Science Dept., Prof. Dr. Computer Science (Artificial Intelligence, Software Engineering)

https://www.linkedin.com/posts/monettdiaz_ai-activity-7284433996137046016-Tcz5

Sometimes the evidence is there, before our eyes, in the form of *papers*. The only thing we need is to go out of our bubbles and *read them*!

There is mounting evidence against the use of AI in education. This is why I agree with Chollet and celebrate his being open about it. It could mean he is at least aware of part of the issues!

These are three examples *among many*:

(1)
"Exploring the Impact of ChatGPT on Business School Education: Prospects, Boundaries, and Paradoxes"
(Valcea et al., 2024)
https://lnkd.in/dPR5UXdj

"AI is likely to have a net-negative effect on learning. This stance is based on our trials with ChatGPT on various cognitive tasks organized around the revised Bloom’s Taxonomy of learning. We identify areas ... where [students] exhibit significant limitations, such as logical reasoning and critical thinking. We caution against the potential deskilling in critical thinking due to students’ overreliance on AI for basic tasks."

(2)
"Cognitive ease at a cost: LLMs reduce mental effort but compromise depth in student scientific inquiry"
(Stadler et al., 2024)
https://lnkd.in/dJ4kETS7

"The study aimed to investigate potential differences in cognitive load, as well as the quality and homogeneity of the students' recommendations and justifications. Results indicated that students using LLMs experienced significantly lower cognitive load. However, despite this reduction, these students demonstrated lower-quality reasoning and argumentation in their final recommendations compared to those who used traditional search engines. Further, the homogeneity of the recommendations and justifications did not differ significantly between the two groups, suggesting that LLMs did not restrict the diversity of students’ perspectives. These findings highlight the nuanced implications of digital tools on learning, suggesting that while LLMs can decrease the cognitive burden associated with information gathering during a learning task, they may not promote deeper engagement with content necessary for high-quality learning per se."

(3)
"AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking"
(Gerlich, 2025)
https://lnkd.in/dthFBNwT

"The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants."

Among others!

[[Added:
We cite other examples in our preprint
"The commodification of education and the (generative) AI-induced scam-like culture"
Cc Gilbert Paquet, M.A.
https://lnkd.in/dV--9MXB

and there are many other reasons, e.g. related to unethical practices:
https://lnkd.in/eF9K-sSK
]]