Massive: The Future of Learning at Scale examines large-scale learning environments with many learners and few experts to guide them. We investigate MOOCs, cognitive tutors, blended learning, interest-driven learning communities, and other forms on online learning. The course has three sections. It begins with a short investigation into the histories of distance education and teaching machines. We then look “under the hood” of online learning technologies to understand how despite their diverse surfaces, many are powered by similar technologies, such as item response theory or supervised machine learning. We then examine the implications of these learning environments for curriculum, policy, teaching, learning science, and equity.
The course embraces a participatory, Connectivist-inspired learning model where students contribute through blog posts, memes, Twitter, and other media. They are archived at t509massive.org/flow and at mitmassive.org/flow