Lego's latest educational kit aims to teach computer science fundamentals as part of its AI learning initiative, rather than focusing on building chatbots.
The Computer Science and AI Learning Solution is designed to introduce students in grades K-2, 3-5, and 6-8 to the basics of computer science through hands-on activities with Lego bricks, additional hardware, and lessons tailored to AI. The kit's design focuses on expanding what it means to teach computer science, rather than generating chatbot-like responses.
Lego Education's head of product experience, Andrew Silwinski, defended the company's approach, noting that teaching computer science is about more than just generative AI. "Helping children understand probability and statistics, data quality, algorithmic bias, sensors, machine perception β these are really foundational core ideas that go back to the 1970s," he said.
The kits include lessons on coding, looping code, triggering events and sequences, if/then conditionals, and more, which are taught through a combination of Lego-built models and hardware. The approach is designed to be local and self-contained, with no data sent across the internet or to third parties.
Lego also emphasized that its lessons do not anthropomorphize AI, unlike many consumer-facing tools like ChatGPT. Instead, the kits aim to teach students about the mechanics of computer science and AI, rather than making them believe in the magic of chatbots.
The company's initiative is part of a study it commissioned, which showed that teachers often lack resources to teach these subjects. Lego Education's approach addresses this gap by providing teachers with the tools they need to teach these concepts.
Lego's new course will be available for pre-order starting at $339.95, with shipping set to begin in April. The kits are designed for four students, and bundles and school district orders are also available.
The Computer Science and AI Learning Solution is designed to introduce students in grades K-2, 3-5, and 6-8 to the basics of computer science through hands-on activities with Lego bricks, additional hardware, and lessons tailored to AI. The kit's design focuses on expanding what it means to teach computer science, rather than generating chatbot-like responses.
Lego Education's head of product experience, Andrew Silwinski, defended the company's approach, noting that teaching computer science is about more than just generative AI. "Helping children understand probability and statistics, data quality, algorithmic bias, sensors, machine perception β these are really foundational core ideas that go back to the 1970s," he said.
The kits include lessons on coding, looping code, triggering events and sequences, if/then conditionals, and more, which are taught through a combination of Lego-built models and hardware. The approach is designed to be local and self-contained, with no data sent across the internet or to third parties.
Lego also emphasized that its lessons do not anthropomorphize AI, unlike many consumer-facing tools like ChatGPT. Instead, the kits aim to teach students about the mechanics of computer science and AI, rather than making them believe in the magic of chatbots.
The company's initiative is part of a study it commissioned, which showed that teachers often lack resources to teach these subjects. Lego Education's approach addresses this gap by providing teachers with the tools they need to teach these concepts.
Lego's new course will be available for pre-order starting at $339.95, with shipping set to begin in April. The kits are designed for four students, and bundles and school district orders are also available.