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P2 Learning to Program Alongside AI: Critical Thinking, AI Ethics, and Gendered Patterns of German Secondary School Students

与AI一同学习编程:德国中学生的批判性思维、AI伦理与性别化模式
ICSE Proceedings of the IEEE/ACM 48th International Conference on Software Engineering2026匹配度 1/10 · 该论文属于计算机教育(CS Education)实证研究,聚焦德国中学生的AI辅助编程批判性思维、伦理认知与性别差异,研究方法为问卷/访谈式调查。它与用户画像关注的核心——静态分析、形式化验证、浮点程序分析与 LLM 的交叉、Agentic 程序分析及 benchmark 构建——几乎没有交集,既无理论形式化,也无程序分析工具或工程实现。引用 0 inbox
Isabella Graßl
crossref: 2026-09-12

AI 速览

一句话:通过德国中学生实证研究揭示AI辅助编程中的伦理悖论与性别差异,倡导结合代码实物的批判性AI素养教育。

生成式AI进入编程学习,但中学新手如何批判性使用AI、看待伦理责任及性别差异仍缺乏研究。本文对84名16–19岁参加软件开发工作坊的德国中学生进行探索性研究,考察其AI辅助编程中的批判性思维、AI伦理与责任认知及性别模式。结果揭示“AI悖论”:学生有较强伦理推理与意识,却常在不充分理解下集成AI生成代码;多数将责任归于政治与企业,或反映德国监管与数据隐私语境。男生使用更频繁且更实验性,女生更怀疑并重视同伴协作。研究主张文化响应式软件工程教育,将伦理与具体代码制品相联,培养批判性AI素养。

问题
现有研究多关注大学生或开发者,对中学编程新手如何在生成式AI辅助下进行批判性参与、如何理解AI伦理与责任,以及其中的性别差异了解不足。
方法
对84名16–19岁参加软件开发工作坊的德国中学生开展探索性研究,考察其AI辅助编程实践、伦理与责任观及性别相关模式。
评估
基于学生观点与报告的分析,揭示伦理意识强但常不充分理解即使用AI代码的“AI悖论”,并发现使用频率与怀疑/协作倾向上的性别差异。
原文摘要(Abstract)

The first generation of students is learning to program alongside GenAI (Generative Artificial Intelligence) tools, raising questions about how young learners critically engage with them and perceive ethical responsibilities. While prior research has focused on university students or developers, little is known about secondary school novices, who represent the next cohort of software engineers. To address this gap, we conducted an exploratory study with 84 German secondary school students aged 16–19 attending software development workshops. We examined their critical thinking practices in AI-assisted programming, perceptions of AI ethics and responsibility, and gender-related differences in their views. Our results reveal an AI paradox: students demonstrate strong ethical reasoning and awareness about AI, yet many report integrating AI-generated code without a thorough understanding of it. The majority of our cohort attributed significant responsibility for AI practices to politics and corporations, potentially reflecting Germany’s cultural context, with its strict regulations and data privacy discourse. Boys reported more frequent and experimental use of AI-assisted programming, whereas girls expressed greater scepticism and emphasised peer collaboration over GenAI assistance. Our findings highlight the importance of culturally responsive software engineering education that strengthens critical AI literacy in AI-assisted programming by linking ethics to concrete code artefacts and preparing young learners for this AI-driven software landscape.

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BibTeX
@inproceedings{paperbot12068,
  title = {Learning to Program Alongside AI: Critical Thinking, AI Ethics, and Gendered Patterns of German Secondary School Students},
  author = {Isabella Graßl},
  booktitle = {ICSE},
  year = {2026},
  doi = {10.1145/3786580.3786983}
}