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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?
Institution
Tutor
Self
…
Educational
Commercial
Overview
Data

Analytic
How?
Social network
Discourse
Content
Disposition
Context
…
Administration

Insight

Who?
Institution
Tutor
Self
…
Educational
Commercial
Overview
Data
What?
Platform
Service
…
Availability
Access

Analytic
How?
Social network
Discourse
Content
Disposition
Context
…
Administration

Insight

Who?
Institution
Tutor
Self
…
Educational
Commercial
Overview
Data
What?
Platform
Service
…
Availability
Access

Analytic
How?
Social network
Discourse
Content
Disposition
Context
…
Administration

Insight

Who?
Institution
Tutor
Self
…
Educational
Commercial
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 2011-11-10 16:44:58
http://www.flickr.com/40936370@N00/6332465890/
Data Access
Data Shapes
Data Flows

©Patrick Goossens 2009-03-01 12:11:05
http://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

Develop custom
segmentations
with eye on
actionable insight

Define events to
track in GA

http://mashe.hawksey.info/?p=15238
Google Analytics

Develop custom
segmentations
with eye on
actionable insight

Define events to
track in GA

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
% of
Total

Total Inputs
# Matched
# No Match
# Bad Input

Count
250
178 71.20%
72 28.80%
0
0.00%
In sample 41%
(n.103) emails
returned bio
% of
Total

Total Inputs
# Matched
# No Match
# Bad Input

Count
250
178 71.20%
72 28.80%
0
0.00%
In sample 41%
(n.103) emails
returned bio
% of
Total

API returns other
social profiles

Total Inputs
# Matched
# No Match
# Bad Input

Count
250
178 71.20%
72 28.80%
0
0.00%
• 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
What?
Platform
Service
…
Availability
Access

Analytic
How?
Social network
Discourse
Content
Disposition
Context
…
Administration

Insight

Who?
Institution
Tutor
Self
…
Educational
Commercial
Thank you!
Questions?
Martin Hawksey
mashe.hawksey.info
@mhawksey

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Show me the data! Actionable insight from open courses

Editor's Notes

  1. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  2. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  3. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  4. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  5. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  6. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  7. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.
  8. What: Coursera MCQ dataWho: tutors
  9. What: edXWho: Institutions/tutors
  10. These trajectories are also a useful framework for thecomparison of learner engagement between different coursestructures or instructional approachesWhat: CourseraK-meansWho: Inst.
  11. HeadacheSimply getting the data in a timely fashion
  12. HeadacheDo you want a database table dump?Do you need to join datasets, merge results, cleanse
  13. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments:social network analytics — interpersonal relationships define social platformsdiscourse analytics — language is a primary tool for knowledge negotiation and constructioncontent analytics — user-generated content is one of the defining characteristics of Web 2.0disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovationcontext analytics — mobile computing is transforming access to both people and content.