This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment. This addresses both the scarcity of skilled robotics instructors, particularly in community colleges and the expensive demand for training equipment. The study of robotics at the college level represents a wide range of interests, experiences, and aims. This project works to provide students the flexibility to adapt their learning to their own goals and prior experience. We are developing a system to enable robotics instruction through a web-based interface that is compatible with less expensive hardware. Therefore, the free distribution of teaching materials will empower educators. This project has the potential to increase the number of robotics courses offered at both two- and four-year schools and universities. The course materials are being designed with small units and a hierarchical dependency tree in mind; students will be able to customize their course of study based on the robotics skills they have already mastered. We present an evaluation of a five module mini-course in robotics. Students indicated that they had a positive experience with the online content. They also scored the experience highly on relatedness, mastery, and autonomy perspectives, demonstrating strong motivation potential for this approach.

翻译：本文介绍了一项正在进行中的学习系统开发工作，该系统将为机器人学学生提供个性化学习环境。这既解决了熟练机器人讲师稀缺的问题（尤其是在社区学院中），也应对了培训设备成本高昂的需求。大学层次的机器人学研究涵盖了广泛兴趣、经验和目标。本项目致力于让学生能够根据自身目标和先验经验灵活调整学习内容。我们正在开发一套系统，通过兼容低成本硬件的网络界面实现机器人教学。因此，教材的免费分发将为教育工作者赋能。该项目有望增加两年制及四年制院校与大学的机器人课程开设数量。课程材料采用小单元和分层依赖树结构设计；学生可根据已掌握的机器人技能定制学习路径。我们评估了包含五个模块的机器人微型课程。学生反馈表明，他们对在线内容持积极体验，并在关联性、掌控感与自主性维度上给出高分，展现出该方法强大的内在动机激发潜力。