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Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks
 

Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks

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Collaborative presentation at the Digital Media and Learning conference (2012) with Nichole Pinkard, Ruth Schmidt, and Kiley Larson.

Collaborative presentation at the Digital Media and Learning conference (2012) with Nichole Pinkard, Ruth Schmidt, and Kiley Larson.

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    Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks Presentation Transcript

    • Remixing iRemix:Data Visualizations to UnderstandLearning and Development in OnlineSocial Learning NetworksDenise Nacu! Nichole Pinkard! Ruth Schmidt! Kiley Larson!Urban Education Institute! Digital Youth Network! Institute of Design, IIT! Digital Media and Learning Hub!University of Chicago! DePaul University! Doblin | Monitor Group! Humanities Research Institute!dcnacu@uchicago.edu! npinkard@digitalyouthnetwork.org! ruth_schmidt@doblin.com  ! University of California! Klarson@hri.uci.edu! 2012 Digital Media and Learning Conference | March 1, 2012 | San Francisco, CA
    • Visualizations of Social LearningNetwork (SLN) Data•  Gather, analyze, and use data about activity in social learning networks!•  Uses of SLN visualizations for stakeholders:! –  Program Leaders: Program evaluation and professional development! –  Teachers: Reflection on practice to adapt and improve! –  Student: Reflection on own learning ! –  Researchers and Designers: Understanding learning and building SLNs!
    • Driving Questions•  How are youth participating and interacting with others, and how do we know that their interactions are producing learning and development?!•  How are teachers/mentors/experts facilitating learning? !
    • SLNs: New ways of learning,New kinds of dataExamples:!SLN  features   Kinds  of  data  Structures  to  support  informal  and   Social  2es  formal  interac2on  among  users  Access  to  teachers/mentors/expert   Interac2on  pa9erns  among  peers/ teachers/mentors/experts  Asynchronous,  online  communica2on   Access  and  par2cipa2on  pa9erns  Crea2ng,  sharing,  and  discussing   Engagement  with  content  mul2media  content   Connec2ng  use  pa9erns  with  pa9erns  of   learning  and  development  Ability  to  structure  learning  ac2vi2es  and   Engagement  and  impact  of  specific  projects   learning  resources  
    • The need for shared frameworksand tools for this kind of data•  Lack of SLN models!•  Need for models of practice in SLNs!What should learning look like in social learning networks?!What does effective teacher practice look like in social learning networks?!
    • Goals for this Session•  Launch a working group!•  Describe our R & D context!•  Share our working analytical framework and visualization examples!•  Start a discussion about key questions, data elements, and data visualization!
    • iRemix Platform•  Closed social learning network!•  Profile pages!•  Groups!•  Access to mentors!•  Ability to share and comment on projects and have discussions!•  Self-paced student curriculum!•  Learning badges!•  Assessment rubric!•  Embedded flash-based design tools to enable students to do projects on their own time!
    • Use Context: C21 Curriculum! Writing! Consists of units built around key writing artifacts that enable students to write across genres for authentic audiences. Students learn that the structures used to tell a textual story extend to other modes of communication.! Digital Storytelling! Students will tell stories—stories important to them, about them, about their world. Students will tell these stories through different media types: ! ! •  Photography! •  Video! •  Graphic Design ! •  Podcasting !
    • Performance Spaces Final Collaborative Anchored “Texts”! Deliverable!
    • Implementation Context•  Writing/Digital Storytelling curriculum!•  81 sixth graders! Class  A   Class  B   Class  C  •  3 Classes!•  2 Writing teachers! take  home   iPads  to  take   during  class   Laptops  to   home   Laptops   but  not  to  •  2 Media mentors! take  home  •  2 Writing mentors!
    • Our Working Framework:Conceptual Framework for Analyzing SocialLearning NetworksPar2cipa2on   Consump2on   Contribu2on   Produc2on  Access  and   Views  of  specific   Content  posted  to   Pos2ng  original  membership   items   the  network   media  Impact   Rela2onships   Exper2se   Interests  Evidence  of  impact   Social  2es,   Evidence  of  skill   Emergence  and  by  individuals   interac2ons,  and   development   development  of   group  affilia2ons   interests  
    • Data Table: Sample SLN Log DataSummary of activity across classes, sorted by class and number of logins (one month of activity)! Sample Data Handout!
    • Bar Graphs: Comparing Technology Access Consumption and Contribution activity across Participation activity by time of day/day of week classes (one month of activity)! across classes (one month of activity)!100   80   72   Average  of  Consump2on   Average  of  Morning   90   86   70   Average  of  During   Average  of  Original  Posts   Average  of  AVerschool   80   Average  of  Night   71   Average  of  Average  views  of   60   56   Average  of  Weekend   original  posts   70   Average  of  Comments  on   Original  Posts   50   60   Average  of  Contribu2on   39   50   40   31   40   30   28   27   26   26   30   21   20   20   17   14   14   12   10   9   9   8   8   9   10   8   10   7   7   6   5   1   2   1   0   0   Class  A   Class  B   Class  C   Class  A   Class  B   Class  C   Laptops   iPads   in-­‐class  only   Laptops   iPads   in-­‐class  only  
    • Social Network Map: Social ConnectionsCommenting activity for one month, among students and teachers in Classes A, B, and C.!
    • Social Network Map: Social ConnectionsSame data, arranged differently! Naya  
    • Social Network Map: Social ConnectionsShowing two or more comments between individuals! Naya  
    • Social Network Map: Social ConnectionsShowing three or more comments between individuals! Naya  
    • Radar Graph: Individual Profiles Showing (1) time of day user participated, (2) breakdown of activities by type, and (3) activity relative to others in the network!1   3   2  
    • Radar Graph: Individual ProfilesNaya  (Female),  Class  C   Taylor  (Female),  Class  A   Ryan  (Male),  Class  C  
    • Layered Timeline: Events and MultipleVariables Over Time
    • Breakout Groups•  Questions: What research areas do you want to explore?!•  Unit of Analysis: Who/what is the focus of your interest?!•  User Activities: What user behaviors can help us address this question?!•  Data Elements: What trackable social network data can indicate these user activities?!•  Visualizations: What mechanisms best express the relationships we are interested in?!•  Supports: What additional data or information may be important?! Discussion Card Deck!
    • Thank you. We are looking forward to connecting with you in the future!!Denise Nacu! Nichole Pinkard! Ruth Schmidt! Kiley Larson!Urban Education Institute! Digital Youth Network! Institute of Design, IIT! Digital Media and Learning Hub!University of Chicago! DePaul University! Doblin | Monitor Group! Humanities Research Institute!dcnacu@uchicago.edu! npinkard@digitalyouthnetwork.org! ruth_schmidt@doblin.com  ! University of California! Klarson@hri.uci.edu!