University of Minnesota report warns careless AI use could disrupt student learning

A University of Minnesota report warns that casual, careless use of generative AI could disrupt students’ memory, critical thinking and other foundations of learning. Its practical message is not to ban the tools outright, but to let students build core skills independently before using AI to test or extend their ideas.

Watch Desk analysis

What happened

The report, covered by MPR News on 28 October, draws on a survey of experts by learning scientists. Lead author Panayiota Kendeou said the researchers found little high-quality research on AI’s effects on learning, alongside broad expert agreement that some uses could cause “severe and one-sided” disruption.

The risks identified include cognitive thinking, learning skills, collaboration, social-emotional development and human connections. Kendeou urged particular care with primary-school pupils: students should first have the chance to develop skills such as writing on their own. Once those foundations are in place, AI could help them stress-test ideas, develop an argument or find further resources.

Why it matters

That distinction gives teachers and parents something more useful than the familiar choice between “AI will save education” and “ban the chatbot”. The question is what a student is meant to learn. If the aim is to practise writing, asking a tool to do the writing skips the work; if the aim is to challenge an argument the student can already build, AI may have a more constructive role.

The report also makes clear that confidence should not be mistaken for settled evidence. The researchers found a shortage of high-quality studies, so the warnings are expert concerns, not proof that every classroom use causes harm.

Our read

“Build the skill first, then use the tool to stretch it” is a sensible starting point, and a welcome change from treating access to AI as the same thing as learning. The hard part is applying that principle across ages and tasks, rather than turning it into a single rule for every classroom. Schools should be able to say what a student is practising and why AI helps with that specific goal.

What to watch

• Whether more rigorous studies establish how different AI uses affect learning outcomes.
• How schools distinguish practice that builds foundational skills from AI-assisted work that tests them.
• Whether guidance pays particular attention to younger pupils, as Kendeou recommends.

Discussion spark: Should schools restrict student access to generative AI until foundational skills are established, or teach pupils to use it from the start?

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