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Thursday, December 5 • 3:30pm - 4:00pm
Detecting and Analyzing Subpopulations within Connectivist MOOCs (30m)

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The nature of connectivist style MOOCs, where knowledge is created and shared within a distributed network, creates challenges in applying Learning Analytics techniques, primarily because activity data resides in a number of disparate systems. Unlike predominantly closed environments, such as Coursera, where researchers have already detected learner subpopulations, in open systems there is a likelihood that students are ‘analytically cloaked’, using different unique identifiers across multiple networks. This creates new challenges in detecting subpopulations, the detection of which might be beneficial in analyse patterns of engagement or used to identify active nodes to the benefit of tutors and students.
We propose a post hoc/retrospective investigation into learner subpopulation detection within the connectivist styled ‘Open Course in Technology Enhanced Learning (ocTEL)’ which ran between April and June 2013. Using free and open source tools we will attempt to resolve activity data from multiple sources to permit the analysis of any engagement patterns. Once any prototypical engagement populations are detected it is planned to apply these to similar connectivist MOOCs.

Thursday December 5, 2013 3:30pm - 4:00pm
Meeting Room 11

Attendees (7)