Via a combination of thinking about ‘what makes a successful MOOC?’, and looking for a topic for my final project on the Infographics MOOC, I decided to try to pull together the various statistics floating around online about MOOC completion rates. I’m trying to see if any differences emerge on the basis of platform or the assessment methods used.
My draft graph synthesising everything I’ve found so far can be found here: http://www.katyjordan.com/MOOCproject.html Clicking on any of the data points will pull up a bubble with more information about that course, and a link back to the data source.
This is off to quite an interesting start, but I need help sourcing more data and categorising courses according to their assessments.
Courses which I have completion rates for, but need more information about how they were assessed, include:
3.091x Introduction to solid state chemistry at EdX, which ended approximately 2013-01 6.00x Introduction to Computer Science and Programming at EdX, which ended approximately 2013-01
- Artificial Intelligence (Sebastian Thrun), ran in Autumn 2011
Circuits and Electronics, at MITx in 2012 (first time the course ran) Circuits and Electronics, at MITx/EdX Computational Investing, Part 1 at Coursera, ended approx 2013-01 Software as a Service, Coursera, ended approx 2012-06 Gamification, Coursera, ended approx 2012-10 Introduction to genetics and evolution, Coursera, ended approx 2012-12 Introduction to Machine Learning (Andrew Ng), 2011
If you studied on any of these courses, please do post a comment here outlining how it was assessed (just MCQs? Peer graded projects? Or something else?). If you know about any other sources of data about MOOC completion rates (how many registered and how many completed) in addition to the ones already in my chart, please do post a comment too (& a link to the data source), and I’ll add them to the chart. Thanks & looking forward to seeing the picture which emerges!