Qualified, self-regulated learners follow parts of a MOOC that helps them solve a problem

Understanding learning in Massive Open Online Courses is difficult, partly because methods and instruments for data collection are under-developed. Published work tends to be from data samples that are too small or skewed. Dropout rates in MOOCs mean that the learners who participate in studies show persistence, therefore samples are not representative. Even if this…

Driving Disruptive Innovation: developing agile and responsive module production

The production of module content is central to Open University teaching. Inter-professional teams comprising academics, technologists, planners and media production specialists work together to create content with ‘gold standard’ academic, accessibility and production standards. But quality comes at a cost. The production outlay for each module means that each course has to have a 5…