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THE STUDENT ACTIVITY
       METER.
     Seminar on Tools for Learning Analytics
         7 March 2013, SURF, Utrecht.


             Sten Govaerts
  (KULeuven, Belgium/EPFL, Switzerland)
KULeuven team:
Human-Computer Interaction

• technology enhanced learning
• music
• research
        http://hci.cs.kuleuven.be/


EPFL team:
REACT - Real-time Coordination &
Distributed Interaction Systems Group

• technology enhanced learning
• social media
• transportation
           http://react.epfl.ch/
PROBLEM




http://www.ypfp.org/classroom




                                     3
PROBLEM




http://www.ypfp.org/classroom




                                     3
OBJECTIVES

• self-monitoring   for learners




                                   http://free-extras.com/images/obama_hope_progress-2848.htm




                                                                                                4
OBJECTIVES

• self-monitoring   for learners

• awareness   for teachers



                                   http://free-extras.com/images/obama_hope_progress-2848.htm




                                                                                                4
OBJECTIVES

• self-monitoring   for learners

• awareness    for teachers

• time   tracking

                                   http://free-extras.com/images/obama_hope_progress-2848.htm




                                                                                                4
OBJECTIVES

• self-monitoring   for learners

• awareness    for teachers

• time   tracking

• learning
       resource use and
 recommendations                   http://free-extras.com/images/obama_hope_progress-2848.htm




                                                                                                4
STUDENT ACTIVITY METER




                         5
STUDENT ACTIVITY METER




                         6
STUDENT ACTIVITY METER




                         7
METHODOLOGY.
• design-basedresearch [Obrenović 2011]: design a tool, give
 students & teachers and evaluate

• iterative   process of design & evaluation

• paper   mockups

• usability   studies

• surveys     on usefulness

                                       http://funnytogo.com/pictures/evolution/timeline.htm
                                                                                              8
iter.     evaluation goal        methodology         demo-graphics        data

        usability, satisfaction, task-based interview
                                                       12 CS students timetracking
  I.        preliminary          with think-aloud, SUS
                                                        at KULeuven     via Twitter
             usefulness                & MSDT

         assessing teacher     online survey with    19 teachers &
 II.       needs, use &       Likert items, yes/no     TA’s with   Moodle logs
            usefulness        and open questions     CGIAR courses

         assessing teacher
                               online survey with    12 participants
           needs, expert
 III.                         Likert items, yes/no     from LAK      Moodle logs
          feedback, use &
                              and open questions        MOOC
             usefulness

                             structured face-to-face 11 teachers &     VM with
         use, usefulness &
IV.                          interview with tasks & TA’s at Carlos III extensive
            satisfaction
                                 open questions       Uni. Madrid tool tracking

                                                                                      9
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.




                                                        10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:




                                                        10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:
    • to   detect potential students doing well and at risk




                                                              10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:
    • to detect potential students doing well and at risk
    • a better course overview




                                                            10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:
    • to detect potential students doing well and at risk
    • a better course overview
    • understanding student time spending




                                                            10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:
    • to detect potential students doing well and at risk
    • a better course overview
    • understanding student time spending
    • to find a wide variety of new insights



                                                            10
CONCLUSION
•   SAM is perceived useful and contributes to better
    awareness.

•   SAM enables:
    • to detect potential students doing well and at risk
    • a better course overview
    • understanding student time spending
    • to find a wide variety of new insights

• almost   all want to continue using SAM
                                                            10
2




slides will appear on http://www.slideshare.net/stengovaerts
              contact: sten.govaerts@gmail.com
slides will appear on http://www.slideshare.net/stengovaerts   11

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The Student Activity Meter

  • 1. THE STUDENT ACTIVITY METER. Seminar on Tools for Learning Analytics 7 March 2013, SURF, Utrecht. Sten Govaerts (KULeuven, Belgium/EPFL, Switzerland)
  • 2. KULeuven team: Human-Computer Interaction • technology enhanced learning • music • research http://hci.cs.kuleuven.be/ EPFL team: REACT - Real-time Coordination & Distributed Interaction Systems Group • technology enhanced learning • social media • transportation http://react.epfl.ch/
  • 5. OBJECTIVES • self-monitoring for learners http://free-extras.com/images/obama_hope_progress-2848.htm 4
  • 6. OBJECTIVES • self-monitoring for learners • awareness for teachers http://free-extras.com/images/obama_hope_progress-2848.htm 4
  • 7. OBJECTIVES • self-monitoring for learners • awareness for teachers • time tracking http://free-extras.com/images/obama_hope_progress-2848.htm 4
  • 8. OBJECTIVES • self-monitoring for learners • awareness for teachers • time tracking • learning resource use and recommendations http://free-extras.com/images/obama_hope_progress-2848.htm 4
  • 12. METHODOLOGY. • design-basedresearch [Obrenović 2011]: design a tool, give students & teachers and evaluate • iterative process of design & evaluation • paper mockups • usability studies • surveys on usefulness http://funnytogo.com/pictures/evolution/timeline.htm 8
  • 13. iter. evaluation goal methodology demo-graphics data usability, satisfaction, task-based interview 12 CS students timetracking I. preliminary with think-aloud, SUS at KULeuven via Twitter usefulness & MSDT assessing teacher online survey with 19 teachers & II. needs, use & Likert items, yes/no TA’s with Moodle logs usefulness and open questions CGIAR courses assessing teacher online survey with 12 participants needs, expert III. Likert items, yes/no from LAK Moodle logs feedback, use & and open questions MOOC usefulness structured face-to-face 11 teachers & VM with use, usefulness & IV. interview with tasks & TA’s at Carlos III extensive satisfaction open questions Uni. Madrid tool tracking 9
  • 14. CONCLUSION • SAM is perceived useful and contributes to better awareness. 10
  • 15. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: 10
  • 16. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: • to detect potential students doing well and at risk 10
  • 17. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: • to detect potential students doing well and at risk • a better course overview 10
  • 18. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: • to detect potential students doing well and at risk • a better course overview • understanding student time spending 10
  • 19. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: • to detect potential students doing well and at risk • a better course overview • understanding student time spending • to find a wide variety of new insights 10
  • 20. CONCLUSION • SAM is perceived useful and contributes to better awareness. • SAM enables: • to detect potential students doing well and at risk • a better course overview • understanding student time spending • to find a wide variety of new insights • almost all want to continue using SAM 10
  • 21. 2 slides will appear on http://www.slideshare.net/stengovaerts contact: sten.govaerts@gmail.com slides will appear on http://www.slideshare.net/stengovaerts 11