# 研究：用AI做数学题更快但学得更少

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-15 00:32
- AIHOT 分数：60
- AIHOT 链接：https://aihot.virxact.com/items/cmqe0loed01osslrdf5l7c0xi
- 原文链接：https://x.com/rohanpaul_ai/status/2066196970197090447

## AI 摘要

一项研究分析了10年间320万条ALEKS数学学习记录，发现ChatGPT普及后，高中和大学生完成AI友好型文字题的速度显著加快，但学习效果反而下降。监考环境下时间缩短现象消失，说明快速完成并非能力提升或平台变化所致。后续监考的保留测试中，学生对AI友好题的正确率降低约25%，而难以用AI代劳的图形题未受影响。

## 正文

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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arxiv. org/abs/2605.21629

"Faster Completion， Less Learning： Generative AI Reduced Study Time on Math Problems and the Knowledge They Build"