向高中生教授强化学习与人形机器人：一个经专家验证的低成本开放平台课程设计
Teaching Reinforcement Learning and Humanoid Robotics to High-School Students: An Expert-Validated Curriculum Design on a Low-Cost Open Platform
- Stanford University（斯坦福大学）
- University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究提出一个经专家验证的集成课程框架，将机器人研究流程（组装、模拟、训练、部署）转化为高中课程，平衡真实性与认知负荷等张力，实现低成本人形机器人教学。
AI中文摘要：
更低成本的开源机器人和强化学习（RL）模拟工具为大学预科学生接触当代机器人技术创造了新的机会。然而，将涵盖机械组装、电气设置、模拟、策略学习、系统辨识和物理部署的完整研究流程转化为面向初学者的连贯课程仍然具有挑战性。我们提出了一个集成机器人课程框架，该框架围绕一个共享的机器人工件组织这些活动。该框架结合了并行学科轨道、基于技术依赖性的排序、模拟与硬件的渐进式集成、分层性能检查点，以及平衡协作工作与个人责任的结构。我们通过一个围绕机器人项目组织的高中课程来展示该框架，在该项目中，学生两人一组组装一个开源人形机器人，在模拟中训练行走策略，并将其部署在物理平台上。该框架通过迭代设计过程开发，包括由五位机器人研究、工程、中学STEM教育和课程设计领域的专家进行的形成性评审。专家反馈突出了三个核心设计张力：真实性与认知负荷、系统集成与及时可见进展、团队构建与个人责任。这些张力为本文提出的最终框架提供了信息。这项工作提供了一种将机器人研究流程改编为跨学科大学预科课程的结构化方法；未来需要课堂研究来检验实施情况和学生学习效果。
英文摘要：
Lower cost open source robots and reinforcement learning (RL) simulation tools create new opportunities for precollege students to engage with contemporary robotics. However, translating a complete research workflow, spanning mechanical assembly, electrical setup, simulation, policy learning, system identification, and physical deployment, into a coherent course for novice learners remains challenging. We present an integrated robotics course framework that organizes these activities around a shared robotic artifact. The framework combines parallel disciplinary tracks, sequencing based on technical dependencies, progressive integration of simulation and hardware, layered performance checkpoints, and structures for balancing collaborative work with individual accountability. We illustrate the framework through a high school curriculum organized around a robot project in which pairs of students assemble an open source humanoid robot, train a walking policy in simulation, and deploy it on the physical platform. The framework was developed through an iterative design process that included formative review by five experts in robotics research, engineering, secondary STEM education, and curriculum design. Expert feedback highlighted three central design tensions: authenticity versus cognitive load, system integration versus timely visible progress, and team construction versus individual accountability. These tensions informed the final framework presented in this paper. This work offers a structured approach for adapting robotics research workflows into interdisciplinary precollege courses; future classroom studies are needed to examine implementation and student learning.
