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Stepping out of the box
  Toward analytics outside the LMS
    Abelardo Pardo, Carlos Delgado Kloos
     University Carlos III of Madrid, Spain




www.slideshare.net/abelardo_pardo
Warning: From macro to micro

 Apply analytics to
everyday operations
    in a course.

   Toward highly
   focused quick
     actuators


      Micro does not mean simple!
      Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   2
The scenario
• Second year engineering
• Class meets twice a week
• Active learning (U work, I
  work)
   1.Learn how to program in C
   2.Use “industrial” tools
   3.Work in teams
   4.Increase your self-learning
• Work in pairs and in teams
• Significant out-of-class activity

          Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   3
The problem

           • LMS = Forum

           • Intense activity outside LMS.

           • Can we record the interaction?

           • Can we take measures?

           • Can we act over 250 students?



Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   4
The solution
                   • Think as a student
                   • Offer fully configured
                     environment for the course
                   • Offer doc. sharing
                   • Attract course activity to
                     that environment
                   • Capture, report, predict, act
                     and refine
                   • Total transparency!

Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   5
Virtual Machines
                             • A (guest) computer in a
                               file (8 Gigabytes)
                             • Runs as a regular
                               application in your
                               (host) PC
                             • When in full window,
                               almost as running
                               another operating
                               system
                             • Access to files in “host”
                               machine
                             • Available 1st day
Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   6
Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   7
Internals

              • Instrumentation of main
                tools
              • Record when tools are
                used
              • Relay data to server when
                updating shared
                documents
              • Transparent to the user
              • User confirms terms of use


Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   8
Advantages
• Closer insight on
  procedural activities
• Limited to the course
  environment
• Limited in time
• Observe some
  “elusive” behavior
   – Ability to use modern
     engineering tools
   – Ability to function in
     multidisciplinary
     teams
         Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   9
On-going work
                   • First data set collected:
                     Sep./Dic. 10. Observed 248
                     Students

                   • Used by 85% of them

                   • Encoded in CAM

                   • 48K events

                   • Beginning to report,
                     towards “act”

Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   10
Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   11
Browsing outside the LMS
                • 48K events: 15,5K are URLs
                  (32.07%)

                • 8,669 unique pages

                • 28.51% point to the LMS

                • Conclusion: 3 out of 4 pages
                  are outside the LMS.



 Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   12
Conclusions
• VMs offer a good
  trade-off for course
  environment
• Advantages to
  students
• Potential for high
  observability
• Oriented toward
  quick actuators
          www.it.uc3m.es/abel
        Twitter: @abelardopardo
       Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS   13

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Stepping out of the box. Toward Learning Analytics outside of the LMS

  • 1. Stepping out of the box Toward analytics outside the LMS Abelardo Pardo, Carlos Delgado Kloos University Carlos III of Madrid, Spain www.slideshare.net/abelardo_pardo
  • 2. Warning: From macro to micro Apply analytics to everyday operations in a course. Toward highly focused quick actuators Micro does not mean simple! Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 2
  • 3. The scenario • Second year engineering • Class meets twice a week • Active learning (U work, I work) 1.Learn how to program in C 2.Use “industrial” tools 3.Work in teams 4.Increase your self-learning • Work in pairs and in teams • Significant out-of-class activity Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 3
  • 4. The problem • LMS = Forum • Intense activity outside LMS. • Can we record the interaction? • Can we take measures? • Can we act over 250 students? Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 4
  • 5. The solution • Think as a student • Offer fully configured environment for the course • Offer doc. sharing • Attract course activity to that environment • Capture, report, predict, act and refine • Total transparency! Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 5
  • 6. Virtual Machines • A (guest) computer in a file (8 Gigabytes) • Runs as a regular application in your (host) PC • When in full window, almost as running another operating system • Access to files in “host” machine • Available 1st day Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 6
  • 7. Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 7
  • 8. Internals • Instrumentation of main tools • Record when tools are used • Relay data to server when updating shared documents • Transparent to the user • User confirms terms of use Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 8
  • 9. Advantages • Closer insight on procedural activities • Limited to the course environment • Limited in time • Observe some “elusive” behavior – Ability to use modern engineering tools – Ability to function in multidisciplinary teams Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 9
  • 10. On-going work • First data set collected: Sep./Dic. 10. Observed 248 Students • Used by 85% of them • Encoded in CAM • 48K events • Beginning to report, towards “act” Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 10
  • 11. Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 11
  • 12. Browsing outside the LMS • 48K events: 15,5K are URLs (32.07%) • 8,669 unique pages • 28.51% point to the LMS • Conclusion: 3 out of 4 pages are outside the LMS. Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 12
  • 13. Conclusions • VMs offer a good trade-off for course environment • Advantages to students • Potential for high observability • Oriented toward quick actuators www.it.uc3m.es/abel Twitter: @abelardopardo Abelardo Pardo. Stepping out of the Box. Analytics outside the LMS 13