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Presentation for No way back? Exploring the impact, data and potential of MOOCs
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Show me the data! Actionable insight from open courses
Analytics
“actionable insights through problem definition and the application of
statistical models and analysis against existing and/or simulated future data”
Cooper, A. 2012 – Cetis Analytics Series What-is-Analytics-Vol1-No-5
Overview
Data
Overview
Data Analytic
Overview
Data Analytic Insight
Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
Optimal Video Length for Student Engagement
Philip Guo
Deconstructing Disengagement
Kizilcec, R. F., Piech, C., & Schneider, E. (2013)Deconstructing disengagement: analyzing learner subpopulations in massive open online courses
Data
©Abode of Chaos 2011-11-10 16:44:58http://www.flickr.com/40936370@N00/6332465890/
?
Data Access
Data Shapes
Data Flows
©Patrick Goossens 2009-03-01 12:11:05http://www.flickr.com/8862589@N07/3333965118/
YouTube Analytics
YouTube Analytics
YouTube Analytics
YouTube Analytics
Google Analytics
http://mashe.hawksey.info/?p=15238
Google Analytics
Define events to track in GA
http://mashe.hawksey.info/?p=15238
Google Analytics
Define events to track in GADevelop custom
segmentations with eye on
actionable insight
http://mashe.hawksey.info/?p=15238
Google Analytics
Define events to track in GADevelop custom
segmentations with eye on
actionable insight
Provide data using developed templated
queries
http://mashe.hawksey.info/?p=15238
Canvas API
http://mashe.hawksey.info/?p=14634
Canvas API
http://mashe.hawksey.info/?p=14634
Canvas API
http://mashe.hawksey.info/?p=14634
Canvas API
http://mashe.hawksey.info/?p=14634
Canvas API
http://mashe.hawksey.info/?p=14634
Network effects
The social network diagrams can be used to identify:• isolated
students• group
malfunction• users that
are information brokers
Hansen, D. L., Shneiderman, B., & Smith, M. (2010). Visualizing threaded conversation networks: mining message boards and email lists for actionable insights.
ocTEL (WordPress)
Analytically cloaked
“Learning and knowledge creation is often distributed across multiple media and sites in
networked environments. Traces of such activity may be fragmented across multiple
logs and may not match analytic needs.”
Suthers, D. D., & Rosen, D. (2011). A unified framework for multi-level analysis of distributed learning
Count% of Total
Total Inputs 250
# Matched 178 71.20%
# No Match 72 28.80%
# Bad Input 0 0.00%
Count% of Total
Total Inputs 250
# Matched 178 71.20%
# No Match 72 28.80%
# Bad Input 0 0.00%
In sample 41% (n.103) emails returned bio
Count% of Total
Total Inputs 250
# Matched 178 71.20%
# No Match 72 28.80%
# Bad Input 0 0.00%
In sample 41% (n.103) emails returned bio
API returns other social profiles
• Detecting and Analyzing Subpopulations within Connectivist MOOCs
• Retrospective investigation into learner subpopulation detection within the connectivist courses.
• Using free and open source tools we will attempt to resolve activity data from multiple sources to permit the analysis of any engagement patterns.
Summary
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
Thank you!Questions?
Martin Hawkseymashe.hawksey.info
@mhawksey