At Center for Hybrid Intelligence, we work with human and machine learning. Our goal is to better understand how humans and computers can learn together. 

Methodologically, we take a Design-Based Research approach to building tools for learning that are designed to work in corporate and educational contexts and that support all stakeholders. This means that we begin prototyping early and in the context in which final products will be used.

Didactically, we take a Constructionist approach, aiming to support reflection in action through Machine-Learning based problem representations. This means that we build tools-to-think-with that take a primary starting point in learners’ prior knowledge.

In our work, we have developed a wide range of tools to support learning. You can read more about them across our website and in the examples below.