Doctoral Consortium: Applying Quantified Self Approaches to Support Reflective Learning

Embed Size (px)

DESCRIPTION

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

Text of Doctoral Consortium: Applying Quantified Self Approaches to Support Reflective Learning

  • 1. FZIFORSCHUNGSZENTRUM INFORMATIK Applying Quantified Self Approaches to Support Reflective Learning Vernica Rivera-Pelayo FZI Research Center for Information Technology, Germany 21 September 2012
  • 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. 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. 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. 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. 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. 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. 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 ones experiences, behaviors, habits and thoughts 21.09.2012 FZI Forschungszentrum Informatik 8
  • 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. 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. E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 FZI Forschungszentrum Informatik 11 Theory: Cognitive process
  • 12. E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 FZI Forschungszentrum Informatik 12 Theory: Cognitive process Tools: Experimentation
  • 13. E E Integrated Model of Reflective Learning and Quantified Self 21.09.2012 FZI Forschungszentrum Informatik 13 Theory: Cognitive process Tools: Experimentation
  • 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. Vernica Rivera-Pelayo, Valentin Zacharias, Lars Mller, Simone Braun. Learning Analytics and Knowledge 2012 (LAK 2012), Vancouver, Canada [2] A Framework for Applying Quantified Self Approaches to Support Reflective Learning. Vernica Rivera-Pelayo, Valentin Zacharias, Lars Mller, Simone Braun. IADIS International Conference on Mobile Learning (Mlearning 2012), Berlin, Germany Reflective ProcessExperience(s) Outcomes
  • 15. Tracking Cues 21.09.2012 FZI Forschungszentrum Informatik 15 Reflective ProcessExperience(s) Outcomes
  • 16. Triggering 21.09.2012 FZI Forschungszentrum Informatik 16 Reflective ProcessExperience(s) Outcomes
  • 17. Recalling and Revisiting Experiences 21.09.2012 FZI Forschungszentrum Informatik 17 Reflective ProcessExperience(s) Outcomes
  • 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. LIM App: Live Interest Meter First Prototype Refinements for second prototype 21.09.2012 FZI Forschungszentrum Informatik 19
  • 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. MoodMap App 21.09.2012 FZI Forschungszentrum Informatik 21
  • 22. MoodMap App Reviewing mood evolution Comparing own values with the rest of the team 21.09.2012 FZI Forschungszentrum Informatik 22
  • 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. 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 users motivation 21.09.2012 FZI Forschungszentrum Informatik 24 TEL HCI LAIS MT
  • 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. THANKS FOR YOUR ATTENTION! Any questions? 21.09.2012 FZI Forschungszentrum Informatik 26 rivera@fzi.de @veronicarp vriverapelayo
  • 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. 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. The MIRROR Solution 29