Teacher's Note

Why read this: This piece introduces students to a debate they are already inside: whether using AI tools for school work is quietly weakening the thinking skills they are meant to be building. The article does not lecture. It walks through real research, contrasting expert voices that disagree, and ends with practical, classroom-friendly tips. For Upper B2 readers, it is a chance to follow a hedged science argument (could, may, apparently) without losing the writer's stance, and to reflect on their own habits with chatbots.

What to notice: Three features stretch students at this level. First, the article runs hedging modals throughout, because the science is new. Track every could, may, and apparently to recover the writer's actual confidence in each claim. Second, named experts disagree: Green warns of atrophy, Benge says the meta-analysis shows no clear evidence, and Lee adds nuance about expertise. Use the named-expert tracker to keep claims separated. Third, several Tier 3 phrases (cognitive friction, cognitive surrender, the Google Effect, digital dementia) are coined research terms; the article defines each in context, and the GlossTerm chips give learners a side panel for retention.

Skills practised: Following a hedged argument, separating attributed claims from one another, and lifting the central thesis from a feature article. Students also rehearse vocabulary judgment: which Tier 3 cognitive-science terms are worth memorising, and which can be paraphrased on the fly. The two open questions push readers to evaluate the gym metaphor and weigh which of the writer's tips would be hardest in a teenager's daily life, both of which require building a short argument with textual evidence rather than re-stating what the article said.

Level: Upper B2 · Length: ~660 words · Reading time: ~4 min
Graded ReadingUpper B2

Think outside the bots: how to use AI without your brain turning to mush

Some scientists worry that asking AI to do our thinking for us is making our minds duller. Here is how to keep yours sharp.

~4 min read·

Tap any green word in the article to see its meaning.

GPS once our sense of direction. Search engines our memory. Now scientists warn that AI could compound the problem, everything from and to . A few years ago, I started using AI tools every day, because I write about them for a living. Recently, though, an of studies has me worried. Am I quietly turning my own brain to ?

The come with a lot of . "On a high level, yes," says Adam Green, a professor of at Georgetown University. "If you are not doing as much of the thinking, then your to do that kind of thinking is going to ." Other researchers worry that students who too heavily on may quietly the that keeps thinking sharp, producing fewer original, ideas as a society. The science is brand new, and the answers are far from .

Not every expert agrees the danger is real. Twenty years ago, an idea cropped up about , with researchers warning that on technology could damage memory and . A recent meta-analysis of 57 studies covering more than 411,000 adults, co-authored by Jared Benge of Dell Medical School, no clear evidence for it. In fact, technology use seemed to the risk of cognitive . The picture is not . Still, related effects do in narrower studies. People who on stop building their own of the world around them. The Google Effect describes how readers less of what they look up, because almost no effort is required.

Don't take AI's word for it. Heavier AI users have scored worse on standard critical thinking tests, because they their onto robots. Researchers at the University of Pennsylvania call this : AI over your own thinking and , when AI is wrong. Microsoft Research found the danger when you know little about a subject. The fix starts before you open the app. Form your own rough view first, then use AI to challenge it. That way the technology is pressure-testing your rather than replacing it.

Add friction to your research. "If something is in front of you and you see it, you often think it is in when it is not," says Barbara Oakley, an professor at the University of Oakland. Some light problem solving before opening a can later, one study suggests. When you do reach for AI to remember information, slow down. Take notes by hand if possible. Ask the chatbot to you. It sounds , but the small effort is the point.

Leave the blank page blank a little longer. Research suggests people who use AI for creative tasks produce ideas that are more and less original. Your brain builds creative by reaching across experience, memory, and false starts to make connections only you could make. Hand that work to AI, and you the . One simple fix: write your own rough notes first, however ugly, before opening any chatbot. Then use AI to , develop, or holes in what you have got.

Pay attention. The of technology, including AI, is making focus harder. So apply the same everywhere: do things the slow way on purpose. Don't let an AI that long article. Sit with a hard problem before asking a robot. Tech giants are to more AI onto our phones, but you can still keep your brain . Green argues that human thinking is structurally different from AI in ways that really matter: we make connections that are personal, , and original, in ways that digital simply cannot . The to think, create, and figure things out for ourselves, it seems, is harder than ever to .

Questions

Check your understanding

  1. 01

    According to the article, what does Adam Green say is the main risk of letting AI do our thinking?

  2. 02

    What does Jared Benge's meta-analysis suggest about "digital dementia"?

  3. 03

    Which strategy does the article recommend BEFORE opening a chatbot to use AI well?

  4. 04

    The article uses the gym as a metaphor for thinking. Explain why the writer thinks this metaphor matters, and decide whether you find it convincing.

    Suggested length: ~80 words

  5. 05

    Choose two of the writer's tips (for example, "add friction" or "leave the blank page blank") and evaluate which one would be hardest for a teenager today to follow, giving reasons.

    Suggested length: ~80 words