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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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 [email protected]!
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: !
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]!