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 – Cetis Analytics Series What-is-Analytics-Vol1-No-5
Overview Data
Overview Data Analytic
Overview Data Analytic Insight
Overview Data Analytic Insight Who? Institution Tutor Self … Educational Commercial
Overview Data Analytic Insight Who? Institution Tutor Self … Educational Commercial How? Social network Discourse Content Disposition Context … Administration
Overview Data Analytic Insight Who? Institution Tutor Self … Educational Commercial How? Social network Discourse Content Disposition Context … Administration What? Platform Service … Availability Access
Overview Data Analytic Insight Who? Institution Tutor Self … Educational Commercial How? Social network Discourse Content Disposition Context … Administration What? Platform Service … Availability Access
Misconception detection Daphne Koller
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 :44:58
Data Access
Data Shapes
Data Flows ©Patrick Goossens :11:05
YouTube Analytics
Google Analytics
Google Analytics Define events to track in GA
Google Analytics Define events to track in GA Develop custom segmentations with eye on actionable insight
Google Analytics Define events to track in GA Develop custom segmentations with eye on actionable insight Provide data using developed templated queries
Canvas API
Canvas API
Canvas API
Canvas API
Canvas API
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 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 Inputs250 # Matched % # No Match % # Bad Input00.00%
Count % of Total Total Inputs250 # Matched % # No Match % # Bad Input00.00% In sample 41% (n.103) s returned bio
Count % of Total Total Inputs250 # Matched % # No Match % # Bad Input00.00% In sample 41% (n.103) s 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? Institution Tutor Self … Educational Commercial How? Social network Discourse Content Disposition Context … Administration What? Platform Service … Availability Access
Thank you! Questions? Martin Hawksey