Remixing Remix: Understanding Use of Social Learning Networks
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Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks 2012 Digital Media and Learning Conference | March 1, 2012 | San Francisco, CA Denise Nacu Urban Education Institute University of Chicago [email protected] Nichole Pinkard Digital Youth Network DePaul University [email protected] Ruth Schmidt Institute of Design, IIT Doblin | Monitor Group [email protected] Kiley Larson Digital Media and Learning Hub Humanities Research Institute University of California [email protected]
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Collaborative presentation at the Digital Media and Learning conference (2012) with Denise Nacu, Kiley Larson, and Ruth Schmidt
Transcript of Remixing Remix: Understanding Use of Social Learning Networks
Remixing iRemix: Data Visualizations to Understand Learning and Development in Online Social Learning Networks
2012 Digital Media and Learning Conference | March 1, 2012 | San Francisco, CA
Denise Nacu!Urban Education Institute!University of [email protected]!
Nichole Pinkard!Digital Youth Network!DePaul [email protected]!
Ruth Schmidt!Institute of Design, IIT!Doblin | Monitor [email protected] !
Kiley Larson!Digital Media and Learning Hub!Humanities Research Institute!University of [email protected]!
Visualizations of Social Learning Network (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 data
SLN features Kinds of data
Structures to support informal and formal interac2on among users
Social 2es
Access to teachers/mentors/expert Interac2on pa9erns among peers/teachers/mentors/experts
Asynchronous, online communica2on Access and par2cipa2on pa9erns
Crea2ng, sharing, and discussing mul2media content
Engagement with content Connec2ng use pa9erns with pa9erns of learning and development
Ability to structure learning ac2vi2es and projects
Engagement and impact of specific learning resources
Examples:!
The need for shared frameworks and 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
Anchored “Texts”!Final Collaborative
Deliverable!
Implementation Context
• Writing/Digital Storytelling curriculum!• 81 sixth graders!• 3 Classes!• 2 Writing teachers!• 2 Media mentors!• 2 Writing mentors!
Class A
Laptops to take home
Class B
iPads to take home
Class C
Laptops during class but not to take home
Our Working Framework: Conceptual Framework for Analyzing Social Learning Networks
Par2cipa2on Access and membership
Consump2on Views of specific items
Contribu2on Content posted to the network
Produc2on Pos2ng original media
Impact Evidence of impact by individuals
Rela2onships Social 2es, interac2ons, and group affilia2ons
Exper2se Evidence of skill development
Interests Emergence and development of interests
Sample Data Handout!
Data Table: Sample SLN Log Data Summary of activity across classes, sorted by class and number of logins (one month of activity)!
Bar Graphs: Comparing Technology Access
86
71
14
8 7
1
14
9 6
17
12
2
8 7
1 0
10
20
30
40
50
60
70
80
90
100
Class A Class B Class C
Average of Consump2on
Average of Original Posts
Average of Average views of original posts
Average of Comments on Original Posts
Average of Contribu2on
9
5
39
31
21
26 27
8
28 26
10
56
72
9
0
10
20
30
40
50
60
70
80
Class A Class B Class C
Average of Morning
Average of During
Average of AVerschool
Average of Night
Average of Weekend
Laptops iPads in-‐class only Laptops iPads in-‐class only
Participation activity by time of day/day of week across classes (one month of activity)!
Consumption and Contribution activity across classes (one month of activity)!
Social Network Map: Social Connections Commenting activity for one month, among students and teachers in Classes A, B, and C.!
Same data, arranged differently!
Naya
Social Network Map: Social Connections
Naya
Showing two or more comments between individuals!
Social Network Map: Social Connections
Naya
Showing three or more comments between individuals!
Social Network Map: Social Connections
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
Taylor (Female), Class A Naya (Female), Class C
Ryan (Male), Class C
Radar Graph: Individual Profiles
Layered Timeline: Events and Multiple Variables 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!Urban Education Institute!University of [email protected]!
Nichole Pinkard!Digital Youth Network!DePaul [email protected]!
Ruth Schmidt!Institute of Design, IIT!Doblin | Monitor [email protected] !
Kiley Larson!Digital Media and Learning Hub!Humanities Research Institute!University of [email protected]!
