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English(EN) Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

AI从学生提交的代码中生成个性化编码示例

研究人员开发了一种新方法,用于为学习编程的学生生成个性化的教育内容,特别是示例。该方法使用直接从学生代码提交中提取的基于模式的知识组件来指导生成模型。该系统旨在提供更相关、更有针对性的学习材料,以解决学生特定的逻辑错误,从而大规模地提高个性化水平。 AI

影响 通过使生成模型能够适应学生的个人编码错误,增强了个性化学习工具。

排序理由 学术论文,详细介绍了一种新的教育内容生成方法。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI从学生提交的代码中生成个性化编码示例

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram ·

    Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

    arXiv:2604.24758v1 Announce Type: cross Abstract: Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to the logical errors and partial solutions students pr…

  2. arXiv cs.AI TIER_1 English(EN) · Bita Akram ·

    Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

    Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to the logical errors and partial solutions students produce while writing code. As a result, students ma…