Cross-Disciplinary Experiences Cultivating the Next Generation of Innovators

Inventionland Education’s Innovation Curriculum provides K–16 students with hands-on, immersive learning experiences that engage and entertain while teaching valuable critical thinking and problem-solving skills. The Innovation courses are intended to encourage and cultivate the next generation of scientists, entrepreneurs, and creators to continue to innovate, learn, and grow.

Educational Gardening Activities Engaging All the Senses

Gardening is a “sense-sational” way to engage children in outdoor learning and play. With their diversity of shapes, sizes, colors, scents, and textures, plants offer limitless options for designing a garden space to engage all the senses.

Thomas Jefferson’s Ice Cream Recipe

Thomas Jefferson’s complicated legacy encompasses his roles as an American Founding Father, the principal author of the Declaration of Independence, and the third President of the United States. Jefferson was also an enthusiastic “foodie,” with a willingness to try new cuisine and an interest in kitchen gadgets.

Donations of Supplies for Art Projects

A lack of art supplies is a major issue with schools around the country and is particularly acute in K–12. Art is not just students having fun; it is a critical part of releasing energy and uses many of the skills that students are learning in other subjects, including math and engineering skills.

Artificial Intelligence Curriculum for Middle School Students

Since everyone will be impacted by AI in daily life and in the workplaces of the future, all students need to have fundamental knowledge of AI and understand AI’s potential for good and harm. The MIT Media Lab’s DAILy-AI program jumpstarts middle school students’ readiness for AI and gives students the tools they need to prepare for an AI-enabled world.

Tool That Introduces Children to Machine Learning and Its Real-World Applications

Machine learning (ML) is all around us. We all use machine learning systems every day—such as spam filters, recommendation engines, language translation services, chatbots and digital assistants, search engines, and fraud detection systems. It will soon be normal for machine learning systems to drive our cars and help doctors diagnose and treat our illnesses.