用乐高机器人教12-17岁学生无编程学机器学习核心算法。
Teaching Machine Learning Fundamentals with LEGO Robotics
- 通过乐高机器人与可视化界面结合，无需编程即可体验数据采集与模型训练。
- 14名学生自评显示对算法理解显著提升，术语使用更趋专业。
- 适合中学生、教育工作者及想用动手实践入门机器学习的人。
本文介绍了一个名为“Machine Learning with Bricks”的开源网络平台及配套两日课程，旨在通过无需编程的乐高机器人活动，向12至17岁学生传授机器学习概念。该平台融合交互式可视化与乐高机器人，教授KNN、线性回归和Q-learning三种核心算法。学生通过网页端收集数据、训练模型并操控机器人。对14名学生的前后测问卷分析显示，其对机器学习算法的理解显著提升，对人工智能相关术语的使用趋于技术化，平台可用性高，学习动机明显增强。研究表明，基于实物与可视化的教学方式可在保持技术深度的同时，使机器学习对青少年更具可及性与吸引力。平台免费开放（https://learning-and-dynamics.github.io/ml-with-bricks/），配套视频教程详见（https://youtube.com/playlist?list=PLx1grFu4zAcwfKKJZ1Ux4LwRqaePCOA2J）。
原文摘要 · Abstract (English)
This paper presents the web-based platform Machine Learning with Bricks and an accompanying two-day course designed to teach machine learning concepts to students aged 12 to 17 through programming-free robotics activities. Machine Learning with Bricks is an open source platform and combines interactive visualizations with LEGO robotics to teach three core algorithms: KNN, linear regression, and Q-learning. Students learn by collecting data, training models, and interacting with robots via a web-based interface. Pre- and post-surveys with 14 students indicate statistically significant improvements in self-reported understanding of machine learning algorithms, changes in AI-related terminology toward more technical language, high platform usability, and increased motivation for continued learning. This work suggests that tangible, visualization-based approaches can make machine learning concepts accessible and engaging for young learners while maintaining technical depth. The platform is freely available at https://learning-and-dynamics.github.io/ml-with-bricks/, with video tutorials guiding students through the experiments at https://youtube.com/playlist?list=PLx1grFu4zAcwfKKJZ1Ux4LwRqaePCOA2J.
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