【英文论文】A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievemen

时间:2026年03月11日 点击数:

作者:赵刚,杨丽君*,胡碧灵,王静

出版刊物:Journal of Educational Computing Research

出版时间:2025年

内容摘要:

Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized in teraction, which greatly limits the efficiency of students’ efficiency of programming learning and development of computational thinking. To address the above issues, this study introduces generative AI into human-computer collaborative programming learning and proposes a dialogue-negotiated human-computer collaborative pro gramming learning method based on generative AI. The method focuses on the problems-solving process and constructs multiple agents through Prompt design, which enable students to improve their computational thinking and master programming skills in the process of human-computer interaction for problem-solving.

人机协作是学习编程课程的有效途径。然而,现有人机协作编程学习大多依托传统计算机实现,其个性化交互水平较低,极大限制了学生编程学习效率与计算思维能力的发展。为应对上述问题,本研究将生成式人工智能引入人机协作编程学习,提出一种基于生成式AI的对话协商式人机协作编程学习方法。该方法以问题解决过程为核心,通过提示词设计构建多智能体协作框架,使学生在人机交互解决问题的过程中逐步提升计算思维与编程技能。



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