摘要
生成式人工智能(GAI)在教育领域具有提供高效且个性化、智能化服务和技术支持的潜力,然而,鲜有研究聚焦GAI赋能高中编程问题解决及其效果。因此,该研究结合自主搭建的GAI赋能编程平台,采用准实验研究的方式,探究了85名高中生在GAI赋能的编程学习环境下的问题解决学习效果。研究结果表明:两组学生对GAI的接受度没有显著差异,高中生普遍认为GAI是一种有用的编程学习资源,他们倾向于通过与GAI的互动来促进自身的编程学习过程,并经常利用其来解释编程中的错误信息和代码问题。基于此,该研究提出了“生成式人工智能赋能程序设计的教学框架”,并针对如何提高学生对GAI的使用积极性,以及如何让学生更有效地利用GAI辅助编程学习提出了相关建议,以期为提高编程学习效果提供新的思路。
Generative Artificial Intelligence(GAI)has the potential to provide efficient,personalized,and intelligent services and technical support in the field of education.However,few studies have focused on GAIempowered programming problem-solving and its eff ectiveness for high school students.Therefore,utilizing a selfdeveloped GAI-empowered programming platform,this paper conducted a quasi-experimental study to investigate the problem-solving learning outcomes of 85 high school students in a GAI-empowered learning environment.The results indicate that there was no significant difference in GAI acceptance between the two groups.High school students generally perceived GAI as a useful resource for learning programming,were inclined to facilitate their learning process through interaction with GAI,and frequently used it to explain error messages and coderelated issues.Based on these fi ndings,this study proposes a“Generative AI-Empowered Teaching Framework for Programming”It also off ers suggestions on how to improve students'attitudes toward using GAI and enable them to utilize it more eff ectively to assist in their programming studies,with the aim of providing new perspectives for enhancing programming learning outcomes.
作者
朱城聪
孙丹
李艳
Zhu Chengcong;Sun Dan;Li Yan(Xiaoshan High School,Hangzhou,Zhejiang,China 311200;Jing Hengyi School of Education,Hangzhou Normal University,Hangzhou,Zhejiang,China 311121;College of Education,Zhejiang University,Hangzhou,Zhejiang,China 310058)
出处
《数字教育》
2026年第1期55-61,共7页
Digital Education
基金
国家科技创新2030—“新一代人工智能”重大项目“学习环境智联计算关键技术研究及应用示范”(2022ZD0115904)
国家自然科学基金青年项目“基于多模态知识图谱的青少年编程学习自适应推荐及关键技术研究”(62307011)。
关键词
生成式人工智能
使用态度
编程学习
学习行为分析
高中生
Generative Artificial Intelligence
Attitude toward use
Programming learning
Learning behavior analysis
High school students
