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Quantitative Digital Backchannel: Developing a Web-Based Audience Response System for Measuring Audience Perception in Large Lectures

  1. 1. Quan%ta%ve  Digital  Backchannel:   Developing  a  Web-­‐Based  Audience   Response  System  for  Measuring   Audience  Percep%on  in  Large  Lectures       by  Chris)an  Haintz   1  
  2. 2. Research  Ques)on   ì  How  to  create  a    quan)ta)ve  digital  backchannel   with  state  of  the  art  technology  to  support  agile   teaching  in  large  lectures?   2  
  3. 3. Agile  Teaching   Students   Lecturer   Feedback   adapted  lecturing   3  
  4. 4. Feedback   Qualita)ve   Quan)ta)ve   4  
  5. 5. Feedback  -­‐  Backchannel   Frontchannel   Backchannel   5  
  6. 6. 84  %   Quelle:  APA  25.4.2013,  hPp://oesterreich.orf.at/stories/2581600/     6  
  7. 7. Backchannel   7  
  8. 8. Requirements   ì  BYOD  support   ì  Con)nuous  backchannel  ac)vity   ì  Ac)ons  of  students  generate  visible  impact   ì  Maximize  informa)on  while  keeping  it  simple   ì  …   8  
  9. 9. Implementa)on   Application ServerApplication ServerDatabase Server Application ServerApplication Server Internet Client Application Server Auditor Interface DB Application Interface MVC Application Lecturer Interface MVC Application DB DBLoadBalancer 9  
  10. 10. Backchannel   10  
  11. 11. Dimension  Criterias   ì  Understandable  to  the  student   ì  Meaningful  to  the  lecturer   ì  Clear  extremums   ì  Values  should  be  expectable  to  change  over  )me   11  
  12. 12. Dimensions   ì  Happiness   ì  Comprehension   ì  Presenta)on  Speed   12  
  13. 13. 13  
  14. 14. Happiness   Comprehension   Speed   14  
  15. 15. 15  
  16. 16. 16  
  17. 17. Findings   ì  75%  Par)cipa)on  (~100  Students)   ì  BYOD  (21  Screen  Res.,  5  OSs,  18  OS  Versions,  8   Browser)   ì  Maximize  meaningful  informa)on   ì  35%  in  between  of  extrema  and  neutral  posi)on   ì  Con)nuous  Ac)vity   ì  Ac)vity  decreases  significantly  over  )me   17  
  18. 18. Conclusion   ì  Dimensions   ì  BYOD   ì  User  Experience   ì  Mo)va)on  to  par)cipate   ì  Informa)on  visualiza)on  crucial  for  lecturer   How  to  create  a    quan)ta)ve  digital   backchannel  with  state  of  the  art  technology   to  support  agile  teaching  in  large  lectures?   18  
  19. 19. Thank  you!   Chris)an  Haintz   chris)an.haintz@cnc.io   19  
  20. 20. 20  
  21. 21. 21  
  22. 22. Agile  Development  Cycle   ì  1.  Planning   2.  Requirements   3.  Analysis  &  Design   4.  Implementa)on   5.  Tes)ng  and  Evalua)on     22  
  23. 23. 11  Requirements   1.  Constant  and  con)nuous  ac)vity   2.  Reduce  distrac)on   3.  Usability   4.  Simplicity   5.  Support  BYOD  policy   6.  Responsive  Design   7.  Auditor  impact   8.  Reduce  informa)on   9.  Cross-­‐plaiorm  capabili)es   10.  Interna)onaliza)on   11.  Maximize  meaningful  informa)on   23  
  24. 24. 24  
  25. 25. Avatar  -­‐  Image  Sprites     25  
  26. 26. 1.  Prototypes  for  Collec)ve  Percep)on   26  
  27. 27. User  Experience  Problem   27  
  28. 28. Data  Structure  (JSON)   28  
  29. 29. Facts  -­‐  Test  Lecture   29  
  30. 30. Raw  Data  -­‐  Test  Lecture   30  
  31. 31. 31   Ac)vity   Test   Lecture  
  32. 32. Auditor  Votes  Histogram  –  Test  Lecture   32   12.0% 47.9% 23.9% 10.3% 6.0% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 0% 1,10% 11,20% 21,30% >30% %"auditors" #"votes" Auditor"Votes"Histogram"
  33. 33. Aging   33  !30$ !20$ !10$ 0$ 10$ 20$ 30$ 40$ 50$ 0$ 2$ 4$ 6$ 8$ 10$ 12$ 14$ 16$ 18$ 20$ 22$ 24$ 26$ 28$ 30$ 32$ 34$ 36$ 38$ 40$ value&[%]& *me&[minutes]& Different&Aging&Approaches& speed$(no$aging)$ speed$(linear$aging)$ speed$(quadra:c$aging)$ 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 10 2 3 4 5 6 7 8 9 value age [minutes]
  34. 34. Laptops' 65%' Devices' Mobile' Devices' 35%' ' Sta)s)cs  Test  Lecture   34   1.2$ 1.2$ 2.4$ 3.6$ 3.6$ 1.2$ 3.6$ 2.4$ 1.2$ 1.2$ 1.2$ 10.8$ 1.2$ 1.2$ 13.3$ 16.9$ 7.2$ 8.4$ 6.0$ 7.2$ 4.8$ 0.0$ 2.0$ 4.0$ 6.0$ 8.0$ 10.0$ 12.0$ 14.0$ 16.0$ 18.0$ 20.0$ 240x320$320x344$320x480$320x568$360x592$360x640$480x800$601x906$640x360$ 720x1230$ 720x1280$ 768x1024$ 1100x2100$ 1280x720$ 1280x800$ 1366x768$ 1440x900$ 1600x900$ 1680x1050$ 1920x1080$ 1920x1200$ visits%[%]% Screen%Resolu2on% 43.4$ 24.1$ 19.3$ 6.0$ 3.6$ 1.2$ 1.2$ 1.2$ 0.0$ 5.0$ 10.0$ 15.0$ 20.0$ 25.0$ 30.0$ 35.0$ 40.0$ 45.0$ 50.0$ Chrome$ Firefox$ Safari$ Android$ Browser$ Opera$ Internet$ Explorer$ Mozilla$ CompaEble$ Agent$ Safari$(inI app)$ visits%[%]% Browser% 7" 8" Vista" XP" x86_64" i686" 10.8" 10.7" 10.6" 4.2.2" 4.1.x" 4.0.x" 2.3.x" 2.1.x" 6.1.x" 6.0.x" 5.0.x" 5.1.x" 0.0" 5.0" 10.0" 15.0" 20.0" 25.0" 30.0" 35.0" Windows" Macintosh" Android" iOS" Linux" visits%[%]% Opera.ng%System%Versions%

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