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Learning Analytics


Presentation to IET SSST
Doug Clow, 12 November 2012

   This work by Doug Clow is licensed under a Creative Commons Attribution 3.0 Unported License.
What is learning analytics?
• the measurement, collection, analysis and reporting of
  data about learners and their contexts, for purposes of
  understanding and optimising learning and the
  environments in which it occurs
  – First International Conference on Learning Analytics And Knowledge (LAK11), Banff, Alberta,

    Feb 27-Mar 1 2011   .
•   Learning analytics
•   Learner analytics
•   Academic analytics
•   Business Intelligence
•   Educational Data Mining




                                                     •   Web analytics
                                                     •   Social network analysis
                                                     •   Predictive modeling
                                                     •   Latent semantic analysis
                                                     •   … and more!
              (cc) gareth1953 http://www.flickr.com/photos/gareth1953/5477477947/
• An abundance of data
• Qualitative and quantitative
• To improve learning
• Predictive modeling, datamining (Blackboard)
• Fit students in to one of three risk groups
  => traffic light
• Trigger for intervention emails
• Consistent grade performance improvement
• iSpot reputation: proxy
  measure of learning
SNAPP

• Social Networks Adapting Pedagogic Practice
• Network visualisations of forum activity data from VLE
• See patterns
• Spot central and
  disconnected
• Identify at-risk
• Improve teaching
Social network analysis
• Suthers and Chu, 2012
Content/semantic analysis
• Lárusson and White, 2012
Usage tracking
• Santos, Govaerts,
  Verbert and Duval,
  2012
Social learning analytics
• Ferguson and Buckingham Shum, 2012
Dispositions analytics
• Buckingham Shum and
  Deakin Crick, 2012
Clow, LAK12, 2012

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Learning Analytics - An Overview of a Research Community

  • 1. Learning Analytics Presentation to IET SSST Doug Clow, 12 November 2012 This work by Doug Clow is licensed under a Creative Commons Attribution 3.0 Unported License.
  • 2. What is learning analytics? • the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs – First International Conference on Learning Analytics And Knowledge (LAK11), Banff, Alberta, Feb 27-Mar 1 2011 .
  • 3. Learning analytics • Learner analytics • Academic analytics • Business Intelligence • Educational Data Mining • Web analytics • Social network analysis • Predictive modeling • Latent semantic analysis • … and more! (cc) gareth1953 http://www.flickr.com/photos/gareth1953/5477477947/
  • 4. • An abundance of data • Qualitative and quantitative • To improve learning
  • 5. • Predictive modeling, datamining (Blackboard) • Fit students in to one of three risk groups => traffic light • Trigger for intervention emails • Consistent grade performance improvement
  • 6.
  • 7. • iSpot reputation: proxy measure of learning
  • 8. SNAPP • Social Networks Adapting Pedagogic Practice • Network visualisations of forum activity data from VLE • See patterns • Spot central and disconnected • Identify at-risk • Improve teaching
  • 9.
  • 10. Social network analysis • Suthers and Chu, 2012
  • 12. Usage tracking • Santos, Govaerts, Verbert and Duval, 2012
  • 13. Social learning analytics • Ferguson and Buckingham Shum, 2012
  • 14. Dispositions analytics • Buckingham Shum and Deakin Crick, 2012

Editor's Notes

  1. Data mining, academic analytics, learner analytics – focus here is on the learning, not the management and administration of learning International profile
  2. Predict students at risk of non-completion OU data, mainly VLE Clickstream predictive – if your usage drops (absolute level not so good) Not submitting a TMA is predictive, low mark too Easier to predict non-completion earlier than later (not submitting the first TMA is a worse sign than not submitting the last)
  3. Builds on Neil Mercer, content analysis
  4. Speed and length of cycles: instant feedback as you learn, through to govt policy