让中小学教师用自然语言生成代码，轻松开发AI教学工具。
A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding
- 基于设计思维和INTERACT模型，构建教师可用的AI教学工具开发框架。
- 8周工作坊验证后，教师AI素养显著提升，实现边做边学。
- 适合想通过实践提升AI能力的教育工作者，尤其适合非编程背景者。
大型语言模型可从自然语言提示生成代码，实现“氛围编程”（vibe coding），使非程序员也能开发计算解决方案。将氛围编程应用于教师，能强化教师作为设计者的角色，促进技术融合并提升人工智能素养。然而，支持该过程的结构化指导仍显不足。本文提出GAIDE（面向教育者的人工智能整合设计指南）框架，助力K-12教师通过氛围编程创建AI驱动的学习技术。初始框架结合设计思维与INTERACT模型，经由为期八周的工作坊，对三名教师与四名导师的CORDTRA互动分析进行验证，最终形成定型框架。此外，前后访谈的质性分析显示教师的AI素养获得提升。研究结果表明，通过创造进行学习在教师专业发展中具有巨大潜力。
原文摘要 · Abstract (English)
Large language models generate code from natural language prompts, enabling "vibe coding," which allows non-programmers to develop computational solutions. Vibe coding for teachers amplifies the value of teachers-as-designers, improving technology integration while fostering AI literacy. However, structured guidance on supporting this process is lacking. We propose GAIDE (A Guiding Framework for AI-Integrated Design for Educators), a framework that supports K-12 teachers in creating AI-powered learning technologies through vibe coding. The initial framework, built on Design Thinking and INTERACT, was validated through a CORDTRA interaction analysis of three teachers and four faculty mentors in an eight-week workshop to derive the final framework. Additionally, the qualitative analysis of pre- and post-interviews found an enhancement of teachers' AI literacy. Findings highlight the potential of learning-by-creating for professional development.
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