What is the best way to teach young students the basics of coding? Not with a screen, says Kim Smith, SM ’17, but with wooden toys. That’s why she and Yonatan Cohen launched Learning Beautiful to bring screen-free computational toys to young learners.
Smith’s path to Learning Beautiful began at the MIT Media Lab as part of the Social Computing Group. She and fellow researchers were exploring ideas to transform youth education when discussion turned to the Montessori approach, which focuses on tactile learning. Smith was inspired by the method, which was launched more than a century ago, but also had some changes in mind. “I thought about how the critical content we want children to learn may have changed since then,” she says. “A lot of what we need to know now relates to computation and computational thinking.” This realization gave Smith the idea for wooden coding toys that could offer a tangible way to learn computational skills while giving kids a much-needed break from screen time.
The toys, many of which look like pieces of art, are simple systems that teach the basics of coding. As kids work with wooden binary towers, filling them with balls arranged by place value, they can learn about the binary number system. Or they can play with circular logic gates that represent Boolean logic, an essential part of understanding computer science.
Learning Beautiful currently offers seven different sets of wooden computation toys that are geared toward children but can teach the basics of coding to anyone. “We created a very basic system that takes these large, abstract systems and breaks them down,” Smith explains. Each toy comes with a framework and curriculum that are meant to be interactive so parents and kids can work—and learn—together.
The Learning Beautiful toys have been used in classrooms in Cambridge and at the Chicago Public Library. Thanks to support from MIT’s DesignX accelerator, products are being rolled out for sale. Check the Learning Beautiful website for details: learningbeautiful.com
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
Data analytics reveal real business value
Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise.
Driving companywide efficiencies with AI
Advanced AI and ML capabilities revolutionize how administrative and operations tasks are done.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.