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Study Finds Brief AI Assistance Lifts Performance Then Undercuts Persistence

The authors urge tutoring-style tools that build problem-solving skills to avoid a drop in effort once help stops.

Overview

  • Researchers from Carnegie Mellon, MIT, Oxford and UCLA report in an arXiv paper that short chatbot use boosted speed and accuracy during tasks but hurt solo performance once access ended.
  • Across three online experiments with about 1,222 participants, people worked on fraction arithmetic and reading comprehension with or without an assistant.
  • When help was removed without warning, previously assisted users skipped more questions and answered fewer correctly than peers who never had AI.
  • The decline was strongest when people asked for direct answers, while those who used the assistant for hints or explanations showed little to no drop-off.
  • The team recommends AI that coaches and scaffolds rather than solves outright, and they note the study is a preprint from controlled settings that needs real-world follow-up.