Teaching Machine Learning Fundamentals with LEGO Robotics

📰 ArXiv cs.AI

Teaching machine learning fundamentals to students aged 12-17 using LEGO robotics and interactive visualizations

beginner Published 7 Apr 2026

Action Steps

Introduce core ML algorithms such as KNN, linear regression, and Q-learning through interactive visualizations
Use LEGO robotics to demonstrate ML concepts in a programming-free environment
Collect data and conduct experiments to illustrate ML principles
Analyze results and discuss implications of ML algorithms

Who Needs to Know This

Educators and instructors can benefit from this approach to teach machine learning concepts to students in a engaging and interactive way, while students can gain a deeper understanding of ML fundamentals

Key Insight

💡 Interactive and hands-on approaches can effectively teach machine learning concepts to students

Key Takeaways

Teaching machine learning fundamentals to students aged 12-17 using LEGO robotics and interactive visualizations

Full Article

Title: Teaching Machine Learning Fundamentals with LEGO Robotics

Abstract:
arXiv:2601.19376v2 Announce Type: replace-cross 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 dat

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