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Synapse
May 29, 2026电子通信与计算机科学0 citationsOpen Access

生成式ai导师系统对高职学生c语言学习的赋能研究——基于学业困难学生的实践验证

叶叶晓凤李李文群

Key Points

  • The study aims to evaluate the effectiveness of a generative AI mentorship system in C language education for vocational students facing academic challenges.
  • Developed an AI-assisted system with visualization, intelligent debugging, and project breakdown features.
  • Conducted a semester-long study with vocational students identified as academically struggling.
  • Analyzed improvements in problem decomposition, debugging efficiency, and learning persistence.
  • Increased problem decomposition ability by 32%.
  • Reduced debugging time by 45%.
  • Decreased dropout rates by 28%, highlighting improved programming skills and reduced frustration.

Abstract

本研究为ai赋能职业教育的精准化教学提供了可复制的技术方案。本文以高职院校学业困难学生为研 究对象，探讨生成式ai导师系统在c语言教学中的赋能效果。研究构建了包含思维可视化、智能调试、项目拆解等功 能的ai辅助系统，通过一学期的学习实践验证其有效性。结果表明，该系统能显著提升学生的问题分解能力（提升 32%）、错误调试效率（缩短45%时间）和学习持久性（辍学率降低28%），特别是对编程思维构建和挫败感缓解具 有突出作用，为高职学生c语言的学习提供了可推广的智能化解决方案。

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Cite This Study

叶晓凤 et al. (2026) studied this question.

synapsesocial.com/papers/6a192de6fab5b468c4416e4dhttps://doi.org/10.37155/2717-5170-0803-6
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