Rohan Paul@rohanpaul_ai · X基于10年间320万条ALEKS数学学习记录的研究发现，ChatGPT出现后，学生在AI友好的文字题上完成速度显著加快，但学习效果下降，而需视觉操作的图问题受影响较小。高中和大学生用时减少，低年级变化不大；监考下时间缩短消失，说明加速非源于能力提升。后续监考保留题显示，学生对AI友好题型的正确率下降约25%，表明通过AI快速完成作业未转化为持久知识。
Students finish AI-friendly math problems faster， but they seem to learn less from them.
The researchers studied 3.2 million ALEKS math learning records across 10 years to see what changed after ChatGPT became available.
Finishing faster is not automatically learning more efficiently， because math practice builds knowledge through the friction of choosing a representation， testing a step， making an error， and correcting it.
When a chatbot supplies the path， the student may still submit the answer， but the mind has skipped the work that turns exposure into memory.
They compare word problems， which students can easily paste into an AI chatbot， with graph problems， which are harder to hand off because they require visual work inside the platform.
After ChatGPT， high school and college students spent much less time on the AI-friendly word problems， while younger students showed smaller or no change.
This time drop disappeared when tests were proctored， which suggests the faster work was not just students getting better or the platform changing.
The learning cost showed up later： on proctored retention questions， students became about 25% less likely to answer AI-friendly items correctly， even though they looked better on non-proctored items where AI could still help.
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Paper Link - arxiv. org/abs/2605.21629
Paper Title： "Faster Completion， Less Learning： Generative AI Reduced Study Time on Math Problems and the Knowledge They Build"