Moodle and Analytics  A question of perspective
So does Moodle do analytics, or what?                Yes.              Or no.Depending on your idea    of analytics.
Wikipedia has a nice definition:"exploring the unique types of data that come  from educational settings, and using those ...
Or another way to look at it...                       Looking at                     behaviours in the                    ...
Such a broad definition...Right now: less interested in telling people  what learning analytics are...  ...more interested...
Learning analytics: DimensionsThe level of automation    The consumer      The target      The scope
Level of automation   Manual                  Automated inference   inference                System usesRaw data shown,   ...
The consumer  Personal                          Systemic          Academic                      SystemStudent             ...
The target  Personal                       Systemic             Subject              OrganisationStudent                Fa...
The scope                                    Integrated    Isolated                  Data extracted fromData sourced solel...
Which data drive Moodlesanalytics?Moodle logs:   Capture in real time most actions a user         performs within the syst...
From these data, lots oflocalised reports are      possible.
Four questions to ponder: 1. Are all areas of my subject getting traffic?2. Are my students active in critical parts of th...
Live demonstration of four tools:           1. Activity report        2. Participation report     3. Activity completion r...
Engagement Analytics   in more detail
Engagement Block
Engagement report
Engagement trigger settings   Set with   sensible   defaults,   but can be   modified at   the course   level.
Dimensions for these analytics?                Automation: Mostly no,                 a little yes.                Consume...
In other words, where to from here?A few paths of attack:1.  More Moodle plugins2.  Third-party tools with integration poi...
Moodle plugins1.  Moodle Progress Bar2.  Configurable reports3.  Analytics & Recommendations block4.  Totara reports (unde...
Dimensions for these analytics?                Automation: A mixture                 of both.                Consumer: Mai...
Third-party products1.  Blackboard Analytics2.  Starfish EARLY ALERT3.  Probably others...
Dimensions for these analytics?                Automation: Mostly                 automated.                Consumer: More...
Data Warehouses                       Virtual           Moodle                       Rooms                                ...
Data Warehouses:Probably the right way of doing learning  analytics properly...                       ... and also the har...
Dimensions for these analytics?                Automation: Various.                Consumer: More                 focused ...
Question:    Where do we focus our efforts in 2013?
Moodle and analytics - present and future
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Moodle and analytics - present and future

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High level overview of Moodle and analytics presented by Mark Drechsler at the 2012 Moodleposium conference in Canberra, Australia.

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Moodle and analytics - present and future

  1. 1. Moodle and Analytics A question of perspective
  2. 2. So does Moodle do analytics, or what? Yes. Or no.Depending on your idea of analytics.
  3. 3. Wikipedia has a nice definition:"exploring the unique types of data that come from educational settings, and using those methods to better understand students" - Wikipedia entry for Educational Data Mining
  4. 4. Or another way to look at it... Looking at behaviours in the past In order to predict the future.
  5. 5. Such a broad definition...Right now: less interested in telling people what learning analytics are... ...more interested in understanding some of the dimensions which make up peoples perceptions.
  6. 6. Learning analytics: DimensionsThe level of automation The consumer The target The scope
  7. 7. Level of automation Manual Automated inference inference System usesRaw data shown, predefined rules to users draw their predict behaviour. own conclusions.
  8. 8. The consumer Personal Systemic Academic SystemStudent Organisation
  9. 9. The target Personal Systemic Subject OrganisationStudent Faculty
  10. 10. The scope Integrated Isolated Data extracted fromData sourced solely the LMS and from within the combined with other LMS. sources.
  11. 11. Which data drive Moodlesanalytics?Moodle logs: Capture in real time most actions a user performs within the system.
  12. 12. From these data, lots oflocalised reports are possible.
  13. 13. Four questions to ponder: 1. Are all areas of my subject getting traffic?2. Are my students active in critical parts of the subject? 3. Are my students completing the important parts of the subject? 4. Can I set up an automated early warning system?
  14. 14. Live demonstration of four tools: 1. Activity report 2. Participation report 3. Activity completion report 4. Engagement analytics report
  15. 15. Engagement Analytics in more detail
  16. 16. Engagement Block
  17. 17. Engagement report
  18. 18. Engagement trigger settings Set with sensible defaults, but can be modified at the course level.
  19. 19. Dimensions for these analytics? Automation: Mostly no, a little yes. Consumer: Mainly Lecturer focused. Target: Subject focused. Scope: Isolated.
  20. 20. In other words, where to from here?A few paths of attack:1.  More Moodle plugins2.  Third-party tools with integration points3.  Data Warehouses
  21. 21. Moodle plugins1.  Moodle Progress Bar2.  Configurable reports3.  Analytics & Recommendations block4.  Totara reports (under investigation)5.  Course Dedication block6.  Probably others...
  22. 22. Dimensions for these analytics? Automation: A mixture of both. Consumer: Mainly Lecturer focused. Target: Subject or individual focused. Scope: Isolated.
  23. 23. Third-party products1.  Blackboard Analytics2.  Starfish EARLY ALERT3.  Probably others...
  24. 24. Dimensions for these analytics? Automation: Mostly automated. Consumer: More focused at decision- makers. Target: Various. Scope: Integrated.
  25. 25. Data Warehouses Virtual Moodle Rooms e- SIS PortfolioLecture LibraryCapture Data System Warehouse + Analytics
  26. 26. Data Warehouses:Probably the right way of doing learning analytics properly... ... and also the hardest.Numerous NetSpot clients already undertaking DW projects with data sourced from Moodle.
  27. 27. Dimensions for these analytics? Automation: Various. Consumer: More focused at decision- makers. Target: Various. Scope: Integrated.
  28. 28. Question: Where do we focus our efforts in 2013?

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