
A large-scale Chinese study found that students using AI tools for homework showed strong short-term grade gains but suffered 20 percent exam score drops within six months, with damage to high-stakes entrance exams taking about two years to fully emerge. The harm concentrates among students who finish work unusually fast, suggesting they rely on AI to outsource rather than learn; students who spend normal time on homework while using AI see no exam penalty. This long-term cost is largely invisible in the short term because teachers notice only single-subject declines and the aggregate effect takes years to accumulate.
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A study of 26,000 students in China tracked how AI adoption affected learning outcomes. Six months after students began using AI tools like DeepSeek and ChatGLM, homework scores rose 18 percent and completion time fell from 64 to 45 minutes, but closed-book exam scores dropped 20 percent. The impact on high-stakes entrance exams took about two years to reach full effect, ranging from an 18 to 24 percent decline.
Why it matters
Most students using AI appear to be outsourcing homework rather than learning; about 81 percent finished assignments in under 50 minutes while earning high grades but bombing exams. Only students who spent similar time on homework as non-AI peers saw no exam damage. Schools notice little because teachers see only one subject, and the aggregate county-wide effect didn't reach minus 10 percent until June 2025. This suggests short-term studies miss the real long-term cost to learning.
What to watch
The learning penalty shrank from about 25 percent in early 2023 to 16 percent by June 2025, pointing to some adaptation by students and teachers, though losses persist. Social science subjects took the hardest hit at 27 percent decline, versus STEM at 22 percent. The study recommends shifting grading toward proctored in-class exams and tracking completion time rather than homework grades, since high homework scores now predict worse exam results among AI users.
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