Massive Open Social Learning
Welcome to the hotseat discussion on Massive Open Social Learning. Some kinds of learning just don’t scale up – sports coaching for example. Others are pretty much the same whatever the scale, so that watching a lecture is a similar experience whether you are in a lecture room with 200 people or viewing online with 20,000. But what kinds of learning improve with scale? Can we develop a pedagogy that is suited to large-scale learning events such as Massive Open Online Courses (MOOCs)?
My starting point is that Conversation Theory (based on the foundations from Gordon Pask and Diana Laurillard, see http://edutechwiki.unige.ch/en/Laurillard_conversational_framework ) is a general theory of learning that can inform the design of systems for learning that improve with scale. As more people engage in educative conversations, offering differing perspectives and solutions, so the quality of learning might improve. Furthermore, it is a theory that can be, and has been, implemented, in MOOCs and other learning platforms.
But this raises a host of questions, which I will use to begin other discussion topics.
Please introduce yourself briefly and mention which MOOC platform you used. If you haven’t experienced learning at scale, then it would be really helpful to know your concerns or expectations.
I’m looking forward to a productive conversation!