AI 中文总结
该研究针对教师和研究人员难以定制教育AI的问题，介绍了基于PedOS 1.1 Lumina的LearnAdapt智能工作室，它能让非编码人员用英语描述学习交互，完成插件创作、安全检查等，展示了从提示到证据捕获的完整生命周期，实现从固定工具到教师构建队友的转变。
AI 中文摘要
教师和研究人员需要使教育人工智能适应当地目标，但大多数系统在没有编码专业知识的情况下仍难以定制或研究。我们展示了基于PedOS 1.1 Lumina的LearnAdapt智能工作室，这是一个用于教育人工智能插件的无代码创作和受管理的运行时环境。非编码人员用简单英语描述所需的学习交互；系统准备可预览的插件工件，运行安全检查并支持提交审核。PedOS然后将批准的插件部署到目录中进行安装。关键的是，遥测严格限于运行批准插件的经过身份验证的用户。演示展示了从提示到受管理的证据捕获的完整生命周期，从固定工具转变为教师构建的队友。
英文摘要
Teachers and researchers need to adapt educational AI to local goals, but most systems remain difficult to customize or study without coding expertise. We present LearnAdapt Agentic Studio on PedOS 1.1 Lumina, a no-code authoring and governed runtime environment for educational AI plugins. A non-coder describes a desired learning interaction in plain English; the system prepares a previewable plugin artifact, runs safety checks, and supports submission for review. PedOS then deploys approved plugins into a directory for installation. Crucially, telemetry is strictly gated to authenticated users running approved plugins. The demo shows the complete lifecycle from prompt to governed evidence capture, shifting from fixed tools to teacher-built teammates.
Comments3 pages, 1 figure, Accepted into the 27th International Conference on Artificial Intelligence in Education Interactive Events Track
