用机器人实时反馈+AI对话，让编程学习更直观
RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
- 编程、运行、观察、修改形成闭环，边做边学
- 32名高中生使用后，对编程逻辑理解显著提升
- 适合中小学计算思维教学，教师可快速上手
计算思维（CT）正被视为核心素养，但学习者和教师常难以将抽象程序逻辑与实际结果关联。我们设计并评估了RoboBlockly Studio，一个集成积木编程、对话式AI助教和实体机器人执行的交互系统。该系统构建了编写、运行、观察、修订的紧密迭代循环。基于对五位编程教师的访谈，系统旨在实现四个目标：（1）保持学习者在计算思维中的主体性，（2）使程序行为透明可解释，（3）将编程扎根于具身化、课堂适配的任务，（4）通过教学法支持的AI对话促进反思。我们在32名高中生中部署该系统，观察机器人与AI反馈如何影响学生对代码的互动、对解题策略的反思以及对CT概念的理解。讨论了设计启示，为融合AI与机器人、支持计算思维学习的互动式具身学习环境提供了实践参考。
原文摘要 · Abstract (English)
Computational thinking (CT) is increasingly promoted as a core literacy, yet learners and teachers face challenges in connecting abstract program logic to meaningful outcomes. We design and evaluate RoboBlockly Studio, an integrated interactive system that combines block-based programming, a conversational AI teaching agent, and embodied robot execution. RoboBlockly Studio creates a tight iterative loop of authoring, running, observing, and revising. Informed by interviews with five programming teachers, the system was designed to support four goals: (1) preserving learner agency in computational thinking, (2) making program behavior transparent and interpretable, (3) grounding programming in embodied, classroom-aligned tasks, and (4) scaffolding reflection through pedagogically grounded AI dialogue. We deployed RoboBlockly Studio with 32 high school students, observing how robot and AI feedback influenced students' interactions with code, reflections on problem-solving strategies, and understanding of CT concepts. We discuss design insights and implications for creating interactive, embodied learning environments that integrate AI and robotics to support CT learning in computing education.
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