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Doctoral Consortium: Applying Quantified Self Approaches to Support Reflective Learning

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Slides of my presentation at the MobileHCI Conference, September 2012, San Francisco. We presented and discussed our approach at the Doctoral Consortium.

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Doctoral Consortium: Applying Quantified Self Approaches to Support Reflective Learning

  1. 1. FZIFORSCHUNGSZENTRUM INFORMATIK Applying Quantified Self Approaches to Support Reflective Learning Verónica Rivera-Pelayo FZI Research Center for Information Technology, Germany 21 September 2012
  2. 2. Agenda  Setting the Scene  Background: Reflective Learning and The Quantified Self  Research Questions and Approach  Integrated Model  Use Cases  LIM App  MoodMap App  Wrap up 21.09.2012 © FZI Forschungszentrum Informatik 2
  3. 3. Setting the Scene 21.09.2012 © FZI Forschungszentrum Informatik 3 „Returning to and evaluating past work experiences…“ „… in order to learn and improve future experiences“
  4. 4. Setting the Scene 21.09.2012 © FZI Forschungszentrum Informatik 4 „Returning to and evaluating past work experiences…“ „… in order to learn and improve future experiences“
  5. 5. Setting the Scene 21.09.2012 © FZI Forschungszentrum Informatik 5 „Returning to and evaluating past work experiences…“ „… in order to learn and improve future experiences“
  6. 6. Setting the Scene 21.09.2012 © FZI Forschungszentrum Informatik 6 „Returning to and evaluating past work experiences…“ „… in order to learn and improve future experiences“
  7. 7. D. Boud, R. Keogh, and D. Walker. Reflection: Turning Experience into Learning, chapter Promoting Reflection in Learning: a Model., pages 18-40. Routledge Falmer, New York, 1985. Reflective Learning  Returning to and evaluating past work performances and personal experiences in order to promote continuous learning and improve future experiences. 21.09.2012 © FZI Forschungszentrum Informatik 7
  8. 8. The Quantified Self. http://quantifiedself.com The Quantified Self  Quantified Self (QS)  Collaboration of users and tool makers  Self-knowledge through self-tracking  Gaining self-knowledge about one‘s experiences, behaviors, habits and thoughts 21.09.2012 © FZI Forschungszentrum Informatik 8
  9. 9. Research Questions  Can Quantified Self aid Learning at work?  How can Quantified Self principles and tools support reflective learning at work scenarios?  Can the use of QS tools capture data about our daily work-activities, which can be relevant for reflective learning?  What different mechanisms can we use for visualizing the data to foster learning processes and motivate users to track data about themselves?  Is this information useful to learn from our own experiences and improve our work? e.g. Can users get to feel better, suffer less emotional load and perform their work better? 21.09.2012 © FZI Forschungszentrum Informatik 9
  10. 10. Research Approach  Theory Model  Unification of QS approaches and Reflective Learning  Identification of support dimensions  2 Use Cases  Identification of a work context and its requirements  Development of an application (user-centered)  Interaction design and motivational techniques  Incremental refinement  Evaluation in real contexts  Summative Evaluation  Success of the application for learning purposes  End-user benefits 21.09.2012 © FZI Forschungszentrum Informatik 10
  11. 11. E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 © FZI Forschungszentrum Informatik 11 Theory: Cognitive process
  12. 12. E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 © FZI Forschungszentrum Informatik 12 Theory: Cognitive process Tools: Experimentation
  13. 13. E E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 © FZI Forschungszentrum Informatik 13 Theory: Cognitive process Tools: Experimentation
  14. 14. Integrated Model of Reflective Learning and Quantified Self 10.07.2014 © FZI Forschungszentrum Informatik 14 [1] Applying Quantified Self Approaches to Support Reflective Learning. Verónica Rivera-Pelayo, Valentin Zacharias, Lars Müller, Simone Braun. Learning Analytics and Knowledge 2012 (LAK 2012), Vancouver, Canada [2] A Framework for Applying Quantified Self Approaches to Support Reflective Learning. Verónica Rivera-Pelayo, Valentin Zacharias, Lars Müller, Simone Braun. IADIS International Conference on Mobile Learning (Mlearning 2012), Berlin, Germany Reflective ProcessExperience(s) Outcomes
  15. 15. Tracking Cues 21.09.2012 © FZI Forschungszentrum Informatik 15 Reflective ProcessExperience(s) Outcomes
  16. 16. Triggering 21.09.2012 © FZI Forschungszentrum Informatik 16 Reflective ProcessExperience(s) Outcomes
  17. 17. Recalling and Revisiting Experiences 21.09.2012 © FZI Forschungszentrum Informatik 17 Reflective ProcessExperience(s) Outcomes
  18. 18. Use Case 1: reflecting on Feedback  Academic and research context  Capturing of feedback  Support researchers, professors, lecturers, students  Lectures and conferences  In-action & On-action 21.09.2012 © FZI Forschungszentrum Informatik 18
  19. 19. LIM App: Live Interest Meter  First Prototype  Refinements for second prototype 21.09.2012 © FZI Forschungszentrum Informatik 19
  20. 20. Use Case 2: reflecting on Mood  Telecommunications company  Capturing mood  Weekly virtual meetings  Lack of non-verbal communication 21.09.2012 © FZI Forschungszentrum Informatik 20
  21. 21. MoodMap App 21.09.2012 © FZI Forschungszentrum Informatik 21
  22. 22. MoodMap App  Reviewing mood evolution  Comparing own values with the rest of the team 21.09.2012 © FZI Forschungszentrum Informatik 22
  23. 23. MoodMap App: 3 scenarios for 2nd Prototype  IT Company – Netherlands  Project meetings (whole project and comparison with documents)  Feedback and support of the RL process (triggering)  Call takers at Emergency Service – Italy  Contextualization  Market Experiment – Germany  Evaluation of benefit of RL (better negotiation/trading, avoiding bubbles) 21.09.2012 © FZI Forschungszentrum Informatik 23
  24. 24. Wrap Up: My contribution  Integrated model to inform technological support of reflective learning at work  New tools to support learners in different work environments  HCI perspective  Quantification and analysis of abstract data  Visualization of affective data and its context  Interaction design for mobile applications  Techniques for user’s motivation 21.09.2012 © FZI Forschungszentrum Informatik 24 TEL HCI LAIS MT
  25. 25. Wrap Up: Stepping forward 21.09.2012 © FZI Forschungszentrum Informatik 25 LIM App (UC1) Evaluation and Publication MoodMap App (UC2) Prototyping and Studies IMRLQS Model extension
  26. 26. THANKS FOR YOUR ATTENTION! Any questions? 21.09.2012 © FZI Forschungszentrum Informatik 26 rivera@fzi.de @veronicarp vriverapelayo
  27. 27. About me…  M.Sc. Degree in Informatics Engineering  FIB, UPC-BARCELONA TECH  Research Student Assistant at SAP AG Research Centre, Karlsruhe  Research scientist at FZI (Information Process Engineering)  PhD student of Prof. Rudi Studer at AIFB, Karlsruhe Institute of Technology  EU FP7 Project MIRROR, Reflective Learning at Work 21.09.2012 © FZI Forschungszentrum Informatik 27
  28. 28.  Individuals learn most by observing others and from experiences  Support learning-on-the-job and experience sharing  Learning by reflection on observed practices and collected data  Focus on acquisition of tacit knowledge 28 Reflective Learning at Work • EU funded project (IST-FP7) started in July 2010 • 15 Partners around Europe
  29. 29. The MIRROR Solution 29

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