[2601.19376] Teaching Machine Learning Fundamentals with LEGO Robotics

Computer Science > Robotics arXiv:2601.19376 (cs) [Submitted on 27 Jan 2026 (v1), last revised 5 Apr 2026 (this version, v2)] Title:Teaching Machine Learning Fundamentals with LEGO Robotics Authors:Viacheslav Sydora, Guner Dilsad Er, Michael Muehlebach View a PDF of the paper titled Teaching Machine Learning Fundamentals with LEGO Robotics, by Viacheslav Sydora and 2 other authors View PDF HTML (experimental) Abstract: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 this https URL, with video tutorials guiding students ...