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Event File AI Generative AI

Large-Scale Study Finds AI-Assisted Homework Hurts Learning, Cuts Test Scores by Up to 24%

1 reports · First detected 2026-06-20 · Last active 2026-06-20

As generative AI becomes widespread, whether students undermine learning by using the technology to complete assignments has emerged as a major issue for education regulators. The Centre for Economic Policy Research, drawing on data from more than 26,000 students in China, has provided the first large-scale empirical evidence that excessive reliance on AI reduces active thinking and knowledge retention, offering a basis for governments to develop rules for its use in schools.

CEPR’s latest working paper tracked 26,800 students in China and found that their performance on monthly tests and entrance examinations deteriorated significantly after they used AI to complete homework. Related reports showed that test scores fell by about 20% within six months, with declines reaching as much as 24% in some assessments. The study concluded that short-term gains in homework efficiency could not offset the long-term damage to learning ability.

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1 original reports
ABMEDIA.IO 2026-06-20
AI 寫作業害學習：中國 2.68 萬學生研究、考分 6 月內降 20%

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OECD Study Links Heavy AI Use to a Year of Lost Learningfirst seen 2026-09-09 · 2 reports · similarity 0.87

The Organisation for Economic Co-operation and Development has raised concerns that unguided use of generative AI may weaken learning even when it improves homework performance. Chatbots can produce polished answers quickly, but students who outsource reasoning may fail to build the critical-thinking and comprehension skills needed in closed-book exams. The findings sharpen the debate over how schools should integrate AI without allowing it to replace active learning.

The OECD’s latest education research found that students who regularly relied on AI scored about 20 points below non-users on average, a gap equivalent to roughly one year of learning. Students who used AI to complete homework every day recorded a 28-point shortfall. The organisation said the results support supervised, goal-oriented use of AI that requires students to verify outputs and demonstrate independent reasoning, rather than an outright ban on the technology.

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