Ethan Mollick · Jul 7, 2025
Getting the answer is different from learning
Markdown · JSON · Original source
Mollick argues that AI can support learning when it guides the learner through the work. An assistant that simply supplies answers can remove the practice that builds understanding, even when the user has good intentions.
Headline and sourced paraphrase by Escape Meridian. Inclusion is not endorsement.
Original source
One Useful Thing · Author essay
Original source date: Jul 7, 2025 (2025-07-07).
Date basis: Publication date displayed on the original essay.
Original publisher text read on 2026-09-22; a short editorial paraphrase is stored, not the underlying work.
The date this reading was added to Escape Meridian is not recorded.
Limits
The cited experiment concerns particular students, mathematics tasks and GPT-4 setups; it cannot establish effects for every learner or job.
Editorial test, not a stated concession
Measure delayed, unaided understanding with and without tutor safeguards. Durable gains from answer-only use would challenge the proposed distinction.
supports
The essay distinguishes completing homework from developing the ability to solve a problem.
supports
A field experiment with nearly 1,000 high-school mathematics students found lower unaided performance after unrestricted GPT-4 practice; tutor safeguards largely mitigated the harm.
Source and contributor context
Ethan Mollick · Wharton researcher and author of One Useful Thing
Studies AI in work and education; publishes classroom prototypes and field research.
Learning-design expertise is relevant here; the essay is not a clinical assessment of brain injury.
Declared interests are limited to the records linked here; absence of a record does not establish absence of an interest.
Assumptions
Editorial reconstruction: retained skill matters alongside the immediate result.
Editorial reconstruction: guidance that works in studied classrooms can be adapted and tested elsewhere.
Source media
Media retrieval status: found.
Questions between perspectives
Editorial comparison; no direct exchange established: How should organizations value retained judgment alongside faster adoption?
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
Ethan Mollick
Ethan Mollick is a Wharton researcher and author exploring how AI changes work, learning and decision-making.
One Useful Thing
One Useful Thing is Ethan Mollick’s publication about AI in work, education and everyday practice.
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