Pedagogical	  aspects	  of	  learning	     technologies	  -­‐	  examples	              Lecture	  for	  KAK6003	           ...
Linking	  learning	  theories	  with	  learning	                      technology	  •  Oliver´s	  framework:	      –  Indiv...
Linking	  learning	  theories	  with	  learning	                           technology	  Oliver´s framework:The representat...
Linking	  learning	  theories	  with	  learning	                   technology	  
Linking	  learning	  theories	  with	  learning	                   technology	  
Linking	  learning	  theories	  with	  learning	                   technology	  
Linking	  learning	  theories	  with	  learning	                   technology	  
Task	  •  Form	  a	  list	  of	  acHviHes	  what	  are	  present	  in	  one	     of	  your	  invesHgated	  learning	  tech...
Drill	  programs	  New task                           Show answer!                                  3 x Show answer => new...
Drill	  programs	         • Math 1       • Math 2               Choose activity and numbers                               ...
Drill	  programs	         Check answer     Language learning                         Choose topic                         ...
Drill	  programs	             Music              Sounds -feedback from              program
Drill	  programs	  Find correct!Feedback                                         Game elements                   Punishing...
Behavioural	  elements	  in	  computer	  games	  •  System	  of	  tokens	  in	  computergames	  serves	  as	     the	  rew...
Behavioural	  elements	  in	  computer	  games	                                   Warrock	                                ...
Behavioural	  elements	  in	  computer	  games	             www.honoloko.com	         Decisions	  give	  resourse-­‐	     ...
ApplicaHons	  of	  “informaHon	  processing”	                       metaphor	  •  h`p://mudelid.5dvision.ee/	  
Co-lab
Rock	  Cycle	  game	  Softwarehttp://edu.technion.ac.il/Faculty/Faculty.asp?FM=Yaelk
Inquiry	  learning	  applicaHons	                            h`p://bio.edu.ee/	  BGUILE http://www.letus.org/bguile/
“Young	  ScienHst”	       h`p://bio.edu.ee/noor/	  
http://www.emlab.uow.edu.au/Lake Illuka              Home water-usage simulaator
Nardoo	  river	   Investigating highly polluted river                               Algae simulatorhttp://learningteam.org...
ConstrucHvist	  learning	  systems	  •  Concept-­‐mapping	                               Joint	  construcHon	     elements...
CSILE	  environment	  Environment	  for	  knowledge	  building	  in	  communiHes	  
CollaboraHve	  learning	  environments	                         Fle3 DEMO h`p://fle3.uiah.fi/demo/	                         ...
PossibiliHes	  for	  ubiquitous	  learning	                                 (Pa`en	  et	  al.,	  2006)	  
PossibiliHes	  for	  ubiquitous	  learning	                                  (Pa`en	  et	  al.,	  2006)	  
WISE	                  CollaboraHve	                  inquiry	                  learning	                  environment	  k...
Self-­‐directed	  learning	  at	  the	  course	  
MOOC:	  ConnecHvism	  course	  example	  
Hybrid	  	  course	  ecosystem	                                          Pata,	  2010	  
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Learningprogramexamples kak6003

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Examples of mapping learning technologies with learning theories

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Learningprogramexamples kak6003

  1. 1. Pedagogical  aspects  of  learning   technologies  -­‐  examples   Lecture  for  KAK6003   Kai  Pata  
  2. 2. Linking  learning  theories  with  learning   technology  •  Oliver´s  framework:   –  Individual  –  Where  the  individual  is  the  focus  of  learning.   –  Social  –  learning  is  explained  through  interacHon  with  others   (such  as  a  tutor  or  fellow  students),  through  discourse  and   collaboraHon  and  the  wider  social  context  within  which  the   learning  takes  place.   –  ReflecHon  –  Where  conscious  reflecHon  on  experience  is  the   basis  by  which  experience  is  transformed  into  learning.   –  Non-­‐reflecHon  –  Where  learning  is  explained  with  reference  to   processes  such  as  condiHoning,  preconscious  learning,  skills   learning  and  memorisaHon  (Jarvis,  Holford,  &  Griffin,  1998).   –  InformaHon  –  Where  an  external  body  of  informaHon  such  as   text,  artefacts  and  bodies  of  knowledge  form  the  basis  of   experience  and  the  raw  material  for  learning.   –  Experience  –  Where  learning  arises  through  direct  experience,   acHvity  and  pracHcal  applicaHon.  
  3. 3. Linking  learning  theories  with  learning   technology  Oliver´s framework:The representation emphasises therelationships betweenthe ends of the spectrum in the form ofan octahedron:• Individual – Social.• Reflection – Non-reflection.• Information – Experience.The representation is useful in terms ofhelping to identify learning pathways
  4. 4. Linking  learning  theories  with  learning   technology  
  5. 5. Linking  learning  theories  with  learning   technology  
  6. 6. Linking  learning  theories  with  learning   technology  
  7. 7. Linking  learning  theories  with  learning   technology  
  8. 8. Task  •  Form  a  list  of  acHviHes  what  are  present  in  one   of  your  invesHgated  learning  technology  •  Evaluate  acHviHes  in  the  3  dimensions:   –  Individual  –  Social   –  ReflecHon  –  Non-­‐reflecHon   –  InformaHon  –  Experience  •  Decide  what  learning  theories  might  be  supported  by   this  learning  technology  •  What  metafors  may  apply  to  these  learning   technologies  –  for  what  you  would  use  the  learning   environment?  
  9. 9. Drill  programs  New task Show answer! 3 x Show answer => new problemResults: solved/correct Check answer! •  Chemistry  equaHons  
  10. 10. Drill  programs   • Math 1 • Math 2 Choose activity and numbers Interactivity Competition Timer FeedbackCheck answer correct/wrong answers
  11. 11. Drill  programs   Check answer Language learning Choose topic TestFeedback
  12. 12. Drill  programs   Music Sounds -feedback from program
  13. 13. Drill  programs  Find correct!Feedback Game elements Punishing system Trials and error method Phases: drilling and testing knowledge Biology
  14. 14. Behavioural  elements  in  computer  games  •  System  of  tokens  in  computergames  serves  as   the  rewarding  element.  •  Rewards  and  tokens  are  the  source  of  extrincic   moHvaHon.  •  When  behaviour  is  condiHoned  with  tokens   the  behaviour  itself  becomes  pleasant  and  can   turn  into  the  source  of  intrincic  moHvaHon  to   play  the  game.  
  15. 15. Behavioural  elements  in  computer  games   Warrock   Gaining   experience   to  proceed   in  levels   Gaining   points  to   earn  money   to  buy  new   weapons  
  16. 16. Behavioural  elements  in  computer  games   www.honoloko.com   Decisions  give  resourse-­‐   or  environment  points   and  you  can  make  the   environment  be`er.     When  your  health  points   decrease  you  can  see   that  the  environmental   condiHons  get  worse.    
  17. 17. ApplicaHons  of  “informaHon  processing”   metaphor  •  h`p://mudelid.5dvision.ee/  
  18. 18. Co-lab
  19. 19. Rock  Cycle  game  Softwarehttp://edu.technion.ac.il/Faculty/Faculty.asp?FM=Yaelk
  20. 20. Inquiry  learning  applicaHons   h`p://bio.edu.ee/  BGUILE http://www.letus.org/bguile/
  21. 21. “Young  ScienHst”   h`p://bio.edu.ee/noor/  
  22. 22. http://www.emlab.uow.edu.au/Lake Illuka Home water-usage simulaator
  23. 23. Nardoo  river   Investigating highly polluted river Algae simulatorhttp://learningteam.org/htmls/nardoo.html PDA for taking water-proofs
  24. 24. ConstrucHvist  learning  systems  •  Concept-­‐mapping   Joint  construcHon   elements   Gliffy  h`p://gliffy.com/  •  Brainstorming  tools   Belvedere  h`p://lilt.ics.hawaii.edu/belvedere/  
  25. 25. CSILE  environment  Environment  for  knowledge  building  in  communiHes  
  26. 26. CollaboraHve  learning  environments   Fle3 DEMO h`p://fle3.uiah.fi/demo/   demo/demoSynergy DEMOhttp://bscl.fit.fraunhofer.de/pub2/bscl.cgi/0/4
  27. 27. PossibiliHes  for  ubiquitous  learning   (Pa`en  et  al.,  2006)  
  28. 28. PossibiliHes  for  ubiquitous  learning   (Pa`en  et  al.,  2006)  
  29. 29. WISE   CollaboraHve   inquiry   learning   environment  kai pata2tihane http://wise.berkeley.edu
  30. 30. Self-­‐directed  learning  at  the  course  
  31. 31. MOOC:  ConnecHvism  course  example  
  32. 32. Hybrid    course  ecosystem   Pata,  2010  

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