---
id: 20260503-T0-06
title: "研究揭示Vibe Coding本质：大学生用自然语言让AI写代码，求助行为大转变"
title_en: "Decoding Vibe Coding: Study Analyzes How Students Use AI for Programming"
url: https://ai.daily.yangsir.net/daily/20260503-T0-06
issue_date: 2026-05-03
publish_date: 2026-05-02T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.27134
---

# 研究揭示Vibe Coding本质：大学生用自然语言让AI写代码，求助行为大转变

研究分析了19,418条学生与AI的编程交互记录，揭示了Vibe Coding（感觉编程）的实际行为模式。研究发现，高等教育中的编程教学正在发生转变：学生不再逐行手写代码，而是通过与AI进行自然语言对话来完成开发任务。研究者将这种行为概念化为一种“求助过程”。这表明编程教育的重点需从语法记忆转向如何向AI精准提问及审查生成代码的安全性。

## English Version

**Decoding Vibe Coding: Study Analyzes How Students Use AI for Programming**

Analyzing 19,418 student-AI interactions, a study reveals the reality of 'vibe coding' in higher education. Students increasingly bypass manual coding, using natural language prompts to collaborate with AI. Researchers frame this shift as a help-seeking process. The findings suggest programming education must pivot from syntax memorization to teaching effective AI prompting and critical code review.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.27134)

**详情页**：https://ai.daily.yangsir.net/daily/20260503-T0-06

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