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Show me the data! Actionable insight from open courses
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Transcript of Show me the data! Actionable insight from open courses
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Show me the data! Actionable insight from open courses
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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
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Overview
Data
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Overview
Data Analytic
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Overview
Data Analytic Insight
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Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
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Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
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Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
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Overview
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
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Optimal Video Length for Student Engagement
Philip Guo
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Deconstructing Disengagement
Kizilcec, R. F., Piech, C., & Schneider, E. (2013)Deconstructing disengagement: analyzing learner subpopulations in massive open online courses
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Data
©Abode of Chaos 2011-11-10 16:44:58http://www.flickr.com/40936370@N00/6332465890/
?
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Data Access
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Data Shapes
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Data Flows
©Patrick Goossens 2009-03-01 12:11:05http://www.flickr.com/8862589@N07/3333965118/
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YouTube Analytics
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YouTube Analytics
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YouTube Analytics
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YouTube Analytics
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Google Analytics
http://mashe.hawksey.info/?p=15238
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Google Analytics
Define events to track in GA
http://mashe.hawksey.info/?p=15238
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Google Analytics
Define events to track in GADevelop custom
segmentations with eye on
actionable insight
http://mashe.hawksey.info/?p=15238
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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
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Canvas API
http://mashe.hawksey.info/?p=14634
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Canvas API
http://mashe.hawksey.info/?p=14634
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Canvas API
http://mashe.hawksey.info/?p=14634
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Canvas API
http://mashe.hawksey.info/?p=14634
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Canvas API
http://mashe.hawksey.info/?p=14634
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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.
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ocTEL (WordPress)
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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
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Count% of Total
Total Inputs 250# Matched 178 71.20%# No Match 72 28.80%# Bad Input 0 0.00%
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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
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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
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• 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.
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Summary
Data Analytic Insight
Who?InstitutionTutorSelf…EducationalCommercial
How?Social networkDiscourse ContentDispositionContext…Administration
What?PlatformService…AvailabilityAccess
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Thank you!Questions?
Martin Hawkseymashe.hawksey.info
@mhawksey