SlideShare a Scribd company logo
1 of 16
Download to read offline
Reading	
  Circle	
  
Encouraging	
  Online	
  Student	
  Reading	
  
with	
  Social	
  Visualiza8on	
  
J.	
  Guerra,	
  D.Parra,	
  P.Brusilovsky	
  
School	
  of	
  Informa8on	
  Sciences	
  
University	
  of	
  PiGsburgh	
  
ISLG	
  2013	
  Workshop,	
  AIEd	
  2013.	
  
Memphis,	
  TN,	
  USA.	
  Jul	
  9th	
  2013	
  	
  
Outline	
  
•  Broader	
  Context	
  
•  Goal	
  
•  Founda8onal	
  Concepts	
  
•  Our	
  Approach:	
  reading	
  Circle	
  
•  Demo:	
  Reading	
  Circle	
  Prototype	
  in	
  Ac8on	
  
– Visualiza8on	
  
– User	
  Interac8on	
  
Broader	
  Context	
  
•  Learning	
  in	
  groups	
  vs	
  CSCL?	
  
•  Social	
  Naviga8on	
  and	
  Social	
  Informa8on	
  
Access	
  
– Using	
  group	
  informa8on	
  access	
  behavior	
  to	
  guide	
  
individual	
  users	
  to	
  the	
  right	
  content	
  
•  Two	
  streams	
  of	
  work	
  that	
  contributed	
  to	
  the	
  
Reader	
  Circle	
  
– Social	
  naviga8on	
  for	
  reading	
  with	
  Knowledge	
  Sea	
  
– Social	
  guidance	
  for	
  problems	
  in	
  Progressor	
  
Knowledge	
  Sea	
  II	
  
Knowledge	
  Sea	
  
•  Focused	
  on	
  group-­‐level	
  guidance	
  
– Students	
  do	
  follow	
  visual	
  cues	
  
– Social	
  visual	
  cues	
  help	
  to	
  discover	
  important	
  
pages	
  
– Much	
  beGer	
  guidance	
  to	
  important	
  pages	
  
•  Discovered	
  sizeable	
  increase	
  of	
  mo8va8ons	
  
– Students	
  access	
  the	
  system	
  more	
  and	
  do	
  more	
  
readings	
  
– With	
  annota8on-­‐based	
  cues	
  they	
  do	
  more	
  
annota8ons	
  
Progressor	
  	
  
6	
  
Progressor	
  
•  Focused	
  on	
  both	
  guidance	
  and	
  engagement	
  
– Social	
  guidance	
  on	
  the	
  level	
  of	
  topics	
  is	
  as	
  good	
  as	
  
knowledge-­‐based	
  guidance	
  
– Engagement	
  is	
  higher	
  with	
  social	
  guidance	
  
•  Lessons	
  learned	
  
– The	
  ability	
  to	
  see	
  peer	
  progress	
  is	
  at	
  least	
  as	
  
important	
  as	
  group	
  progress	
  
– The	
  interface	
  organiza8on	
  has	
  to	
  follow	
  the	
  
student	
  percep8on	
  of	
  content/course	
  structure	
  
Failed	
  design:	
  QuizMap	
  
8	
  
Reading	
  Circle:	
  Goal	
  
To	
  encourage	
  [college]	
  students’	
  online	
  
reading	
  by	
  developing	
  a	
  social	
  
visualiza8on	
  of	
  students’	
  reading	
  progress	
  
Founda8onal	
  Concepts	
  
•  Open	
  Student	
  Model:	
  An	
  ability	
  to	
  view	
  and	
  
explore	
  own	
  progress/knowledge	
  help	
  to	
  
reflect	
  and	
  plan	
  
•  Social	
  Naviga4on:	
  “Footprints“	
  that	
  can	
  lead	
  
other	
  people	
  to	
  make	
  decisions	
  or	
  perform	
  
tasks	
  
•  Social	
  Comparison	
  Theory:	
  People	
  tend	
  to	
  
compare	
  to	
  peers.	
  We	
  use	
  it	
  to	
  reinforce	
  
produc8ve	
  behavior	
  
Our	
  Approach:	
  Reading	
  Circle	
  
Social	
  Naviga8on	
   Reading	
  and	
  Annota8on	
  Panel	
  
Student’s	
  Progress	
  
Demo	
  
hGp://columbus.exp.sis.piG.edu/eRaeder_dev/
chong0213/eRaederV2.php?
usr=peterb&grp=testeraeder01&sid=A22F1	
  
ISD	
  Spring	
  2013	
  Survey	
  
•  Prototype	
  implemented	
  and	
  used	
  in	
  graduate	
  HCIclass	
  
•  Introduced	
  as	
  an	
  “addi8onal”	
  reading	
  interface	
  afer	
  
the	
  first	
  5	
  weeks	
  of	
  class	
  
•  Survey’s	
  results:	
  
–  48	
  students	
  
–  36	
  students	
  answered	
  the	
  survey	
  
–  11	
  students	
  used	
  the	
  plakorm,	
  	
  
–  One	
  power	
  user	
  joined	
  early,	
  read	
  960	
  pages	
  with	
  RC	
  
–  10	
  “regular”	
  students	
  joined	
  at	
  different	
  stages	
  reading	
  72	
  
pages	
  in	
  average	
  (pages	
  LOADED),	
  with	
  S.D.	
  =	
  67.09	
  
(min=1,	
  max=198)	
  
Survey	
  results	
  
Statement	
  (	
  1	
  :	
  Strongly	
  agree	
  /	
  5:	
  Strongly	
  disagree)	
   Avg	
  
Agreem.	
  
*	
  Avg	
  
Agreem.	
  	
  
It	
  is	
  very	
  important	
  for	
  me	
  to	
  visualize	
  my	
  reading	
  ac6vity	
   2.06	
   1.89	
  
the	
  reader	
  visualiza6on	
  of	
  my	
  progress	
  is	
  a	
  good	
  approach	
  to	
  show	
  
my	
  reading	
  progress	
  
2.14	
   1.44	
  
It	
  is	
  very	
  useful	
  for	
  me	
  to	
  see	
  reading	
  progress	
  or	
  other	
  students	
  in	
  
my	
  class.	
  
2.36	
   2.67	
  
It	
  is	
  very	
  useful	
  for	
  me	
  to	
  see	
  the	
  average	
  class	
  reading	
  progress	
  and	
  
compare	
  with	
  my	
  progress	
  
2.14	
   2	
  
The	
  approach	
  for	
  class	
  and	
  peer	
  progress	
  visualiza6on	
  in	
  the	
  reader	
  
applica6on	
  is	
  clear	
  -­‐	
  it	
  and	
  allowed	
  me	
  to	
  understand	
  the	
  progress	
  
or	
  other	
  students	
  and	
  compare	
  it	
  with	
  my	
  own	
  
2.08	
   1.78	
  
It	
  is	
  very	
  useful	
  for	
  me	
  to	
  compare	
  my	
  current	
  progress	
  against	
  past	
  
weeks	
  progress	
  
2.42	
   2.33	
  
The	
  approach	
  used	
  in	
  the	
  reader	
  applica6on	
  for	
  showing	
  my	
  past	
  
progress	
  is	
  clear	
  and	
  allowed	
  me	
  to	
  have	
  a	
  be>er	
  picture	
  of	
  my	
  
reading	
  progress	
  
1.97	
   1.78	
  
Discussion	
  
•  Good	
  success	
  for	
  the	
  first	
  aGempt,	
  about	
  ¼	
  of	
  
the	
  class	
  used	
  RC	
  or	
  switched	
  to	
  it	
  
•  Posi8ve	
  feedback	
  
•  Comparison	
  with	
  peers	
  not	
  working	
  well	
  with	
  
a	
  thumbnail	
  view	
  
– Upda8ng	
  pair	
  comparison	
  
•  A	
  challenge	
  to	
  see	
  the	
  whole	
  picture	
  for	
  a	
  
teacher	
  
– Crea8ng	
  a	
  “Table	
  Lens”	
  class	
  view	
  
Thanks!	
  
PAWS	
  Lab	
  
Want	
  to	
  know	
  more	
  about	
  us?	
  
hGp://adapt2.sis.piG.edu/wiki/	
  
	
  
peterb@piG.edu	
  

More Related Content

More from Peter Brusilovsky

Personalized Learning: Expanding the Social Impact of AI
Personalized Learning: Expanding the Social Impact of AIPersonalized Learning: Expanding the Social Impact of AI
Personalized Learning: Expanding the Social Impact of AIPeter Brusilovsky
 
Action Sequence Mining and Behavior Pattern Analysis for User Modeling
Action Sequence Mining and Behavior Pattern Analysis for User ModelingAction Sequence Mining and Behavior Pattern Analysis for User Modeling
Action Sequence Mining and Behavior Pattern Analysis for User ModelingPeter Brusilovsky
 
User Control in Adaptive Information Access
User Control in Adaptive Information AccessUser Control in Adaptive Information Access
User Control in Adaptive Information AccessPeter Brusilovsky
 
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshop
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshopHuman-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshop
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshopPeter Brusilovsky
 
User Control in AIED (Artificial Intelligence in Education)
User Control in AIED (Artificial Intelligence in Education)User Control in AIED (Artificial Intelligence in Education)
User Control in AIED (Artificial Intelligence in Education)Peter Brusilovsky
 
The Return of Intelligent Textbooks - ITS 2021 keynote talk
The Return of Intelligent Textbooks - ITS 2021 keynote talkThe Return of Intelligent Textbooks - ITS 2021 keynote talk
The Return of Intelligent Textbooks - ITS 2021 keynote talkPeter Brusilovsky
 
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...Peter Brusilovsky
 
Two Brains are Better than One: User Control in Adaptive Information Access
Two Brains are Better than One: User Control in Adaptive Information AccessTwo Brains are Better than One: User Control in Adaptive Information Access
Two Brains are Better than One: User Control in Adaptive Information AccessPeter Brusilovsky
 
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...An Infrastructure for Sustainable Innovation and Research in Computer Scienc...
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...Peter Brusilovsky
 
Personalized Online Practice Systems for Learning Programming
Personalized Online Practice Systems for Learning ProgrammingPersonalized Online Practice Systems for Learning Programming
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
 
Human Interfaces to Artificial Intelligence in Education
Human Interfaces to Artificial Intelligence in EducationHuman Interfaces to Artificial Intelligence in Education
Human Interfaces to Artificial Intelligence in EducationPeter Brusilovsky
 
Interfaces for User-Controlled and Transparent Recommendations
Interfaces for User-Controlled and Transparent RecommendationsInterfaces for User-Controlled and Transparent Recommendations
Interfaces for User-Controlled and Transparent RecommendationsPeter Brusilovsky
 
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...Peter Brusilovsky
 
Course-Adaptive Content Recommender for Course Authoring
Course-Adaptive Content Recommender for Course AuthoringCourse-Adaptive Content Recommender for Course Authoring
Course-Adaptive Content Recommender for Course AuthoringPeter Brusilovsky
 
The User Side of Personalization: How Personalization Affects the Users
The User Side of Personalization: How Personalization Affects the UsersThe User Side of Personalization: How Personalization Affects the Users
The User Side of Personalization: How Personalization Affects the UsersPeter Brusilovsky
 
The Power of Known Peers: A Study in Two Domains
The Power of Known Peers: A Study in Two DomainsThe Power of Known Peers: A Study in Two Domains
The Power of Known Peers: A Study in Two DomainsPeter Brusilovsky
 
Data driveneducationicwl2016
Data driveneducationicwl2016Data driveneducationicwl2016
Data driveneducationicwl2016Peter Brusilovsky
 
From Expert-Driven to Data-Driven Adaptive Learning
From Expert-Driven to Data-Driven Adaptive LearningFrom Expert-Driven to Data-Driven Adaptive Learning
From Expert-Driven to Data-Driven Adaptive LearningPeter Brusilovsky
 
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...Peter Brusilovsky
 
Personalization in the Context of Relevance-Based Visualization
Personalization in the Context of Relevance-Based VisualizationPersonalization in the Context of Relevance-Based Visualization
Personalization in the Context of Relevance-Based VisualizationPeter Brusilovsky
 

More from Peter Brusilovsky (20)

Personalized Learning: Expanding the Social Impact of AI
Personalized Learning: Expanding the Social Impact of AIPersonalized Learning: Expanding the Social Impact of AI
Personalized Learning: Expanding the Social Impact of AI
 
Action Sequence Mining and Behavior Pattern Analysis for User Modeling
Action Sequence Mining and Behavior Pattern Analysis for User ModelingAction Sequence Mining and Behavior Pattern Analysis for User Modeling
Action Sequence Mining and Behavior Pattern Analysis for User Modeling
 
User Control in Adaptive Information Access
User Control in Adaptive Information AccessUser Control in Adaptive Information Access
User Control in Adaptive Information Access
 
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshop
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshopHuman-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshop
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshop
 
User Control in AIED (Artificial Intelligence in Education)
User Control in AIED (Artificial Intelligence in Education)User Control in AIED (Artificial Intelligence in Education)
User Control in AIED (Artificial Intelligence in Education)
 
The Return of Intelligent Textbooks - ITS 2021 keynote talk
The Return of Intelligent Textbooks - ITS 2021 keynote talkThe Return of Intelligent Textbooks - ITS 2021 keynote talk
The Return of Intelligent Textbooks - ITS 2021 keynote talk
 
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...
Data-Driven Education 2020: Using Big Educational Data to Improve Teaching an...
 
Two Brains are Better than One: User Control in Adaptive Information Access
Two Brains are Better than One: User Control in Adaptive Information AccessTwo Brains are Better than One: User Control in Adaptive Information Access
Two Brains are Better than One: User Control in Adaptive Information Access
 
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...An Infrastructure for Sustainable Innovation and Research in Computer Scienc...
An Infrastructure for Sustainable Innovation and Research in Computer Scienc...
 
Personalized Online Practice Systems for Learning Programming
Personalized Online Practice Systems for Learning ProgrammingPersonalized Online Practice Systems for Learning Programming
Personalized Online Practice Systems for Learning Programming
 
Human Interfaces to Artificial Intelligence in Education
Human Interfaces to Artificial Intelligence in EducationHuman Interfaces to Artificial Intelligence in Education
Human Interfaces to Artificial Intelligence in Education
 
Interfaces for User-Controlled and Transparent Recommendations
Interfaces for User-Controlled and Transparent RecommendationsInterfaces for User-Controlled and Transparent Recommendations
Interfaces for User-Controlled and Transparent Recommendations
 
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...
UMAP 2019 talk Evaluating Visual Explanations for Similarity-Based Recommenda...
 
Course-Adaptive Content Recommender for Course Authoring
Course-Adaptive Content Recommender for Course AuthoringCourse-Adaptive Content Recommender for Course Authoring
Course-Adaptive Content Recommender for Course Authoring
 
The User Side of Personalization: How Personalization Affects the Users
The User Side of Personalization: How Personalization Affects the UsersThe User Side of Personalization: How Personalization Affects the Users
The User Side of Personalization: How Personalization Affects the Users
 
The Power of Known Peers: A Study in Two Domains
The Power of Known Peers: A Study in Two DomainsThe Power of Known Peers: A Study in Two Domains
The Power of Known Peers: A Study in Two Domains
 
Data driveneducationicwl2016
Data driveneducationicwl2016Data driveneducationicwl2016
Data driveneducationicwl2016
 
From Expert-Driven to Data-Driven Adaptive Learning
From Expert-Driven to Data-Driven Adaptive LearningFrom Expert-Driven to Data-Driven Adaptive Learning
From Expert-Driven to Data-Driven Adaptive Learning
 
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...
Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and ...
 
Personalization in the Context of Relevance-Based Visualization
Personalization in the Context of Relevance-Based VisualizationPersonalization in the Context of Relevance-Based Visualization
Personalization in the Context of Relevance-Based Visualization
 

Recently uploaded

Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmibookbahareshariat
 
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdf
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdfمحاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdf
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdfKhaled Elbattawy
 
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaran
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaranFAIL REKOD PENGAJARAN.pptx fail rekod pengajaran
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaransekolah233
 
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmibookbahareshariat
 
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...Eesti Loodusturism
 
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmibookbahareshariat
 
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmibookbahareshariat
 

Recently uploaded (9)

Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 1 By SadurshSharia Mufti Amjad Ali Azmi
 
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdf
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdfمحاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdf
محاضرات الاحصاء التطبيقي لطلاب علوم الرياضة.pdf
 
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaran
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaranFAIL REKOD PENGAJARAN.pptx fail rekod pengajaran
FAIL REKOD PENGAJARAN.pptx fail rekod pengajaran
 
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 4 By SadurshSharia Mufti Amjad Ali Azmi
 
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...
Saunanaine_Helen Moppel_JUHENDATUD SAUNATEENUSE JA LOODUSMATKA SÜNERGIA_strat...
 
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 3 By SadurshSharia Mufti Amjad Ali Azmi
 
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali AzmiBahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmi
Bahare Shariat Jild 2 By SadurshSharia Mufti Amjad Ali Azmi
 
Energy drink .
Energy drink                           .Energy drink                           .
Energy drink .
 
LAR MARIA MÃE DE ÁFRICA .
LAR MARIA MÃE DE ÁFRICA                 .LAR MARIA MÃE DE ÁFRICA                 .
LAR MARIA MÃE DE ÁFRICA .
 

Encouraging Online Student Reading with Social Visualization

  • 1. Reading  Circle   Encouraging  Online  Student  Reading   with  Social  Visualiza8on   J.  Guerra,  D.Parra,  P.Brusilovsky   School  of  Informa8on  Sciences   University  of  PiGsburgh   ISLG  2013  Workshop,  AIEd  2013.   Memphis,  TN,  USA.  Jul  9th  2013    
  • 2. Outline   •  Broader  Context   •  Goal   •  Founda8onal  Concepts   •  Our  Approach:  reading  Circle   •  Demo:  Reading  Circle  Prototype  in  Ac8on   – Visualiza8on   – User  Interac8on  
  • 3. Broader  Context   •  Learning  in  groups  vs  CSCL?   •  Social  Naviga8on  and  Social  Informa8on   Access   – Using  group  informa8on  access  behavior  to  guide   individual  users  to  the  right  content   •  Two  streams  of  work  that  contributed  to  the   Reader  Circle   – Social  naviga8on  for  reading  with  Knowledge  Sea   – Social  guidance  for  problems  in  Progressor  
  • 5. Knowledge  Sea   •  Focused  on  group-­‐level  guidance   – Students  do  follow  visual  cues   – Social  visual  cues  help  to  discover  important   pages   – Much  beGer  guidance  to  important  pages   •  Discovered  sizeable  increase  of  mo8va8ons   – Students  access  the  system  more  and  do  more   readings   – With  annota8on-­‐based  cues  they  do  more   annota8ons  
  • 7. Progressor   •  Focused  on  both  guidance  and  engagement   – Social  guidance  on  the  level  of  topics  is  as  good  as   knowledge-­‐based  guidance   – Engagement  is  higher  with  social  guidance   •  Lessons  learned   – The  ability  to  see  peer  progress  is  at  least  as   important  as  group  progress   – The  interface  organiza8on  has  to  follow  the   student  percep8on  of  content/course  structure  
  • 9. Reading  Circle:  Goal   To  encourage  [college]  students’  online   reading  by  developing  a  social   visualiza8on  of  students’  reading  progress  
  • 10. Founda8onal  Concepts   •  Open  Student  Model:  An  ability  to  view  and   explore  own  progress/knowledge  help  to   reflect  and  plan   •  Social  Naviga4on:  “Footprints“  that  can  lead   other  people  to  make  decisions  or  perform   tasks   •  Social  Comparison  Theory:  People  tend  to   compare  to  peers.  We  use  it  to  reinforce   produc8ve  behavior  
  • 11. Our  Approach:  Reading  Circle   Social  Naviga8on   Reading  and  Annota8on  Panel   Student’s  Progress  
  • 13. ISD  Spring  2013  Survey   •  Prototype  implemented  and  used  in  graduate  HCIclass   •  Introduced  as  an  “addi8onal”  reading  interface  afer   the  first  5  weeks  of  class   •  Survey’s  results:   –  48  students   –  36  students  answered  the  survey   –  11  students  used  the  plakorm,     –  One  power  user  joined  early,  read  960  pages  with  RC   –  10  “regular”  students  joined  at  different  stages  reading  72   pages  in  average  (pages  LOADED),  with  S.D.  =  67.09   (min=1,  max=198)  
  • 14. Survey  results   Statement  (  1  :  Strongly  agree  /  5:  Strongly  disagree)   Avg   Agreem.   *  Avg   Agreem.     It  is  very  important  for  me  to  visualize  my  reading  ac6vity   2.06   1.89   the  reader  visualiza6on  of  my  progress  is  a  good  approach  to  show   my  reading  progress   2.14   1.44   It  is  very  useful  for  me  to  see  reading  progress  or  other  students  in   my  class.   2.36   2.67   It  is  very  useful  for  me  to  see  the  average  class  reading  progress  and   compare  with  my  progress   2.14   2   The  approach  for  class  and  peer  progress  visualiza6on  in  the  reader   applica6on  is  clear  -­‐  it  and  allowed  me  to  understand  the  progress   or  other  students  and  compare  it  with  my  own   2.08   1.78   It  is  very  useful  for  me  to  compare  my  current  progress  against  past   weeks  progress   2.42   2.33   The  approach  used  in  the  reader  applica6on  for  showing  my  past   progress  is  clear  and  allowed  me  to  have  a  be>er  picture  of  my   reading  progress   1.97   1.78  
  • 15. Discussion   •  Good  success  for  the  first  aGempt,  about  ¼  of   the  class  used  RC  or  switched  to  it   •  Posi8ve  feedback   •  Comparison  with  peers  not  working  well  with   a  thumbnail  view   – Upda8ng  pair  comparison   •  A  challenge  to  see  the  whole  picture  for  a   teacher   – Crea8ng  a  “Table  Lens”  class  view  
  • 16. Thanks!   PAWS  Lab   Want  to  know  more  about  us?   hGp://adapt2.sis.piG.edu/wiki/     peterb@piG.edu