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The	  LMS	  and	  the	  MOOC	                Stephen	  Downes	                 MoodleMootUY,	             Montevideo,	  Ur...
•  Title:	  The	  LMS	  and	  the	  MOOC	  •  Abstract:	  With	  the	  widespread	  adopGon	  of	  the	  massive	  open	  ...
1.    The	  Classic	  Model	  2.    A	  bit	  about	  MOOC	  Structure	  3.    The	  ConnecGvist	  Courses	  4.    Improvi...
1.	  The	  Classic	  Model	  
A	  Typical	  Course	  
The	  Classic	  Model	  •    ObjecGves	  /	  Competences	  •    (Pre-­‐test	  or	  warmup)	  •    PresentaGon	  of	  conte...
Discussion	  List	  
CharacterisGcs	  •    Managed	  enrollment	  •    Linear	  structure	  •    Organized	  local	  content	  •    Set	  curri...
2.  A	  bit	  about	  MOOC	  Structure	  
The	  MOOC	  Experience	  
Open	  Mix	  of	  levels	  –	  novice	  and	  experienced	  
The	  network	  structure	  hap://cor-­‐­‐disGnct-­‐course-­‐formats-­‐in-­‐delivery.html	  	  
AggregaGon	  –	  bringing	  together	  
The	  abundance	  of	  content	  •  Some	  analogies:	     –  following	  football	  –	  there	  are	  more	  games	  in	 ...
Social	  versus	  Solo	  hap://	  	  
Success	  in	  a	  MOOC	  hap://	  	  
Self-­‐EducaGon	  Bates:	  “They	  belong	  philosophically	  within	  the	  context	  of	  thinkers	  such	  as	  R.	  H....
Knowledge	  as	  Grown	  There	  is	  a	  contrast	  between	  knowledge	  as	  something	  that	  is	  acquired,	  ingest...
3.	  The	  ConnecGvism	  Courses	  
hap://	  hap://	  hap://	  hap://	  hap://	  	  	  ...
Feed	  Management	  
Page	  Design	  Code	  
Our	  Experience	  Kop	  and	  Fournier,	  ConnecGng	  the	  Dots,	  CIDER,	  2011	  	  
Our	  Experience	  Kop	  and	  Fournier,	  ConnecGng	  the	  Dots,	                         PLENK participation ratesCIDER...
Our	  Experience	           The complex network a facilitators         post generatedKop	  and	  Fournier,	  ConnecGng	  t...
Our	  Experience	                                           • Plenkers in Twitter                                 eets,   ...
Our	  Experience	         Twitter PLENK connections to       hash-tag networks	                                           ...
4.	  Improving	  MOOCs	  
The	  Bootstrap	  Problem	  hap://­‐reflecGons-­‐on-­‐moocs-­‐and-­‐mitx/	  	  
Size	  versus	  Connectedness	  Lisa	  Chamberlin	  and	  Tracy	  Parish	  	  hap://
EffecGveness	  •  What	  is	  learning	  if	  it	  isn’t	  learning	  content?	     How	  can	  we	  assess	  it,	  credenG...
Assessment	  and	  AnalyGcs	  It	  makes	  no	  sense	  to	  rely	  on	  	  quizzes	  and	  tests	   •  Big	  Data,	  Web	...
Learning	  Outcomes	  We	  are	  using	  one	  of	  these	                                                 To	  create	  o...
Learning	  Outcomes	  •  Learning	  a	  discipline	  is	  a	  total	  state	  and	  not	  a	     collecGon	  of	  specific	...
Learning	  Outcomes	  We	  recognize	  this	                                            By	  perfomance	  in	  this	    	 ...
5.	  Reconceptualizing	  MOOCs	  
Open	  •  everybody	  can	  parGcipate	  –	  but	  more	     importantly,	  there	  are	  many	  ways	  to	     parGcipate...
Online	  •    means	  that	  it	  is	  connecGve,	  interacGve	  •    You	  can’t	  put	  a	  MOOC	  on	  a	  DVD	  •    T...
ConnecGve	  •  To	  the	  extent	  that	  a	  MOOC	  is	  about	  content,	     the	  MOOC	  fails	      –  it’s	  like	  ...
RestaGng	  the	  Problem	  •  our	  MOOCs	  are	  insufficiently	  connecGve,	  and	     tend	  to	  slip	  toward	  an	  em...
Rediscovering	  Process	  •  As	  we	  fail	  to	  provide	  process,	  the	  courses	     revert	  to	  their	  old	  way...
MOOC,	  Meet	  Game	  •  The	  MOOCs	  we	  have	  offered	  have	  been	  very	     high	  level,	  involving	  profession...
Searching	  for	  Chess	  Net	  hap://	  	  
Budget	  Simulators	  hap://	  	  
What’s	  Wrong	  With	  The	  Simulators	  •  they	  try	  to	  ‘teach’	  –	  but	  instead	  become	     propaganda	  •  ...
6.	  The	  EducaGon	  Pla[orm	  
CriGquing	  the	  games	  hap://	  	  
The	  Paucity	  of	  Badges	  
The	  EmpGness	  of	  AnalyGcs	  
Personal	  Learning	  Environment	  
The	  Connectors	  •  Things	  –	  events,	  games,	  arenas,	  etc.,	  to	     ‘connect’	  individuals	  with	  each	  ot...
Language	  Games	  hap://­‐games-­‐as-­‐language-­‐systems	  	  
Ladders,	  Vectors,	  Networks	  •  Chess	  and	  other	  person-­‐to-­‐person	  games	  rank	     people	  in	  ‘ladders’...
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The LMS and the MOOC


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Keynote on the topic of the LMS and the MOOC model. Abstract: "With the widespread adoption of the massive open online course (MOOC) over the last year, questions are now being raised about the role of a learning management system (LMS) such as Moodle. Where previously the focus was on the management of course materials and cohorts progressing according to predefined objectives and curricula, the learning environment of the future is more open-ended and less overtly managed. In this talk Stephen Downes, one of the originators of the MOOC format, describes the differences between types of MOOCs, compares them to the LMS, and outlines the changes LMSs such as Moodle are looking at in the future." Please see for audio and more.

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  1. 1. The  LMS  and  the  MOOC   Stephen  Downes   MoodleMootUY,   Montevideo,  Uruguay   November  22,  2012    
  2. 2. •  Title:  The  LMS  and  the  MOOC  •  Abstract:  With  the  widespread  adopGon  of  the  massive  open  online   course  (MOOC)  over  the  last  year,  quesGons  are  now  being  raised  about   the  role  of  a  learning  management  system  (LMS)  such  as  Moodle.  Where   previously  the  focus  was  on  the  management  of  course  materials  and   cohorts  progressing  according  to  predefined  objecGves  and  curricula,  the   learning  environment  of  the  future  is  more  open-­‐ended  and  less  overtly   managed.  In  this  talk  Stephen  Downes,  one  of  the  originators  of  the   MOOC  format,  describes  the  differences  between  types  of  MOOCs,   compares  them  to  the  LMS,  and  outlines  the  changes  LMSs  such  as   Moodle  are  looking  at  in  the  future.  
  3. 3. 1.  The  Classic  Model  2.  A  bit  about  MOOC  Structure  3.  The  ConnecGvist  Courses  4.  Improving  MOOCs  5.  Reconceptualizing  MOOCs  6.  The  EducaGon  Pla[orm  
  4. 4. 1.  The  Classic  Model  
  5. 5. A  Typical  Course  
  6. 6. The  Classic  Model  •  ObjecGves  /  Competences  •  (Pre-­‐test  or  warmup)  •  PresentaGon  of  content  •  Learning  AcGvity  •  Discussion  /  ReflecGon  •  EvaluaGon  or  Assessment  •  ReflecGon  
  7. 7. Discussion  List  
  8. 8. CharacterisGcs  •  Managed  enrollment  •  Linear  structure  •  Organized  local  content  •  Set  curriculum  to  be  remembered  •  CompeGGve  assessment  •  Knowledge  as  constructed  or  created  
  9. 9. 2.  A  bit  about  MOOC  Structure  
  10. 10. The  MOOC  Experience  
  11. 11. Open  Mix  of  levels  –  novice  and  experienced  
  12. 12. The  network  structure  hap://cor-­‐­‐disGnct-­‐course-­‐formats-­‐in-­‐delivery.html    
  13. 13. AggregaGon  –  bringing  together  
  14. 14. The  abundance  of  content  •  Some  analogies:   –  following  football  –  there  are  more  games  in  the   world  than  you  could  possibly  watch   –  recipes  –  there  is  more  food  int  eh  world  than  you   could  possibly  eat,  more  ways  of  eaGng  food  than   you  could  experience  in  a  lifeGme   –  places  to  visit  –  the  world  is  vast,  ou  cannot   possibly  see  everything  
  15. 15. Social  versus  Solo  hap://    
  16. 16. Success  in  a  MOOC  hap://    
  17. 17. Self-­‐EducaGon  Bates:  “They  belong  philosophically  within  the  context  of  thinkers  such  as  R.  H.  Tawney,  Ivan  Illich  and  Paulo  Freire,  who  believed  strongly  in  self-­‐educaGon,  as  part  of  their  broader  socialist  views  on  equality,  the  need  to  open  access  to  knowledge,  and  to  educate  the  workers  in  order  to  break  the  exisGng  hegemony,  etc.”  hap://­‐reflecGons-­‐on-­‐moocs-­‐and-­‐mitx/    
  18. 18. Knowledge  as  Grown  There  is  a  contrast  between  knowledge  as  something  that  is  acquired,  ingested,  retained,  remembered,  and  knowledge  that  is  something  that  is  grown  as  a  response  to  experience  rather  than  as  a  representaGon  of  it  
  19. 19. 3.  The  ConnecGvism  Courses  
  20. 20. hap://  hap://  hap://  hap://  hap://       hap:// 2011/03/10/cck11-­‐how-­‐to-­‐explain-­‐ connecGvism-­‐mooc-­‐and-­‐plepln/     The  ConnecGvism  Courses  
  21. 21. gRSShopper  
  22. 22. Feeds  
  23. 23. Feed  Management  
  24. 24. Harvester  
  25. 25. Viewer  
  26. 26. Commenter  
  27. 27. Newsleaer  
  28. 28. Page  Design  Code  
  29. 29. Our  Experience  Kop  and  Fournier,  ConnecGng  the  Dots,  CIDER,  2011    
  30. 30. Our  Experience  Kop  and  Fournier,  ConnecGng  the  Dots,   PLENK participation ratesCIDER,  2011    
  31. 31. Our  Experience   The complex network a facilitators post generatedKop  and  Fournier,  ConnecGng  the  Dots,  CIDER,  2011     Relationships between topics in a discussion in week 1
  32. 32. Our  Experience   • Plenkers in Twitter eets, week: Tweets, retwTw eets for a Kop  and  Fournier,  replies ConnecGng  the  Dots,   CIDER,  2011     32
  33. 33. Our  Experience   Twitter PLENK connections to hash-tag networks   Kop  and  Fournier,  #tags related to Twitter posts in the PLENK Daily - six ConnecGng  the  Dots,  weeks duration CIDER,  2011    
  34. 34. 4.  Improving  MOOCs  
  35. 35. The  Bootstrap  Problem  hap://­‐reflecGons-­‐on-­‐moocs-­‐and-­‐mitx/    
  36. 36. NavigaGon  
  37. 37. Size  versus  Connectedness  Lisa  Chamberlin  and  Tracy  Parish    hap://    
  38. 38. EliGsm  
  39. 39. EffecGveness  •  What  is  learning  if  it  isn’t  learning  content?   How  can  we  assess  it,  credenGalize  it?  
  40. 40. Assessment  and  AnalyGcs  It  makes  no  sense  to  rely  on    quizzes  and  tests   •  Big  Data,  Web  of  Data,  SemanGc  Web,  RSS,  Geo,  FOAF…   •  Mash-­‐ups,  APIs,  the  Cloud,  Social  Network  
  41. 41. Learning  Outcomes  We  are  using  one  of  these   To  create  one  of  these    Personal  knowledge  consists  of  neural   connecGons,  not  facts  and  data  
  42. 42. Learning  Outcomes  •  Learning  a  discipline  is  a  total  state  and  not  a   collecGon  of  specific  states  •  It  is  obtained  through  immersion  in  an   environment  rather  than  acquisiGon  of   parGcular  enGGes  •  It  is  expressed  funcGonally  (can  you  perform   ‘as  a  geographer’?)  rather  than  cogniGvely   (can  you  state  ‘geography  facts’  or  do   ‘geography  tasks’?)  
  43. 43. Learning  Outcomes  We  recognize  this   By  perfomance  in  this    There  are  not  specific  bits  of  knowledge  or   competencies,  but  rather,  personal  capaciGes   (more  on  this  later)  
  44. 44. 5.  Reconceptualizing  MOOCs  
  45. 45. Open  •  everybody  can  parGcipate  –  but  more   importantly,  there  are  many  ways  to   parGcipate   –  ‘open’  means  being  able  to  watch   –  ‘open’  means  being  able  to  parGcipate  at  your   own  level   –  ‘open’  means  parGcipaGng  publicly,  so  others  can   watch  
  46. 46. Online  •  means  that  it  is  connecGve,  interacGve  •  You  can’t  put  a  MOOC  on  a  DVD  •  The  MOOC  is  the  process  •  It  is  a  process  that  is  greatly  aided  by  being   online   –  many  tasks  are  automated,  scaffolded   –  much  greater  communicaGve  capacity   –  more  access  to  data,  calculaGons  
  47. 47. ConnecGve  •  To  the  extent  that  a  MOOC  is  about  content,   the  MOOC  fails   –  it’s  like  confusing  the  learning  of  a  game,  or  the   playing  of  a  game  with  memorizing  the  rules  of  a   game   –  it’s  like  confusing  enjoying  food  and  knowing  how   to  cook  with  the  memorizaGon  of  recipes   –  it’s  like  confusing  the  experience  of  travel  with   knowing  where  things  are  on  a  map  
  48. 48. RestaGng  the  Problem  •  our  MOOCs  are  insufficiently  connecGve,  and   tend  to  slip  toward  an  emphasis  on  content   –  the  form  of  connecGvity  –  online  conversaGon  –  is   at  once  too  simplisGc  and  too  complex   –  looking  for  other  ways  to  connect  –  eg.,  artwork  (a   la  ds106)  or  acGviGes/projects  (but  these  have   been  very  poorly  defined  in  our  courses)  
  49. 49. Rediscovering  Process  •  As  we  fail  to  provide  process,  the  courses   revert  to  their  old  ways   –  people  think  the  course  is  about  the  content   –  they  gravitate  toward  dependence  on  the   leadership,  and  away  from  personal  parGcipaGon  •  It’s  not  that  we  don’t  scaffold  enough,  it’s  that   there  are  not  opportuniGes  for  parGcipants  to   ‘play’    
  50. 50. MOOC,  Meet  Game  •  The  MOOCs  we  have  offered  have  been  very   high  level,  involving  professional   presentaGons  and  conversaGons  –  but  what   would  a  MOOC  look  like  for  a  10-­‐year  old?  •  My  answer:  it  would  look  like  a  game  
  51. 51. Searching  for  Chess  Net  hap://    
  52. 52. Budget  Simulators  hap://    
  53. 53. What’s  Wrong  With  The  Simulators  •  they  try  to  ‘teach’  –  but  instead  become   propaganda  •  they  reduce  complex  problems  to  simple  fixes  
  54. 54. 6.  The  EducaGon  Pla[orm  
  55. 55. CriGquing  the  games  hap://    
  56. 56. The  Paucity  of  Badges  
  57. 57. The  EmpGness  of  AnalyGcs  
  58. 58. Personal  Learning  Environment  
  59. 59. The  Connectors  •  Things  –  events,  games,  arenas,  etc.,  to   ‘connect’  individuals  with  each  other   –  either  as  plug-­‐ins  on  individual  PLEs,  or   –  as  third-­‐party  services,  like   ConversaGon?   Chess  game?   SimulaGon?  
  60. 60. Language  Games  hap://­‐games-­‐as-­‐language-­‐systems    
  61. 61. Ladders,  Vectors,  Networks  •  Chess  and  other  person-­‐to-­‐person  games  rank   people  in  ‘ladders’  (people  want  to  ran   schools  this  way  too)  •  One  way  to  think  of  a  network  is  as  a   mulGdimensional  ladder  •  Ranking  is  therefore  ‘posiGon’  in  a  network  
  62. 62. hap://  
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