Virtual Communities of Learning and Care
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Transcript Virtual Communities of Learning and Care
Virtual
Communities of
Learning and Care
Data Mining
Research Overview
Virtual Communities of Learning and Care
(VCLC) project
Virtual environments to promote positive youth
development
Enable users to become active creators of
computational projects and participants in
virtual communities
Complement and augment face-to-face
psychoeducational programs for children and
teenagers
Zora City
Stored Data
Conversations
Objects
Houses
Values (Definitions)
Messages
Profiles
How do we analysis so much data?
Lines of Chat per User
Objects per User
The users who
create many objects
are not necessarily
the users who chat
the most
Some use it more to
build, others use it
more to network
socially
Lines of Chat vs. Objects
Lines of Chat vs. Objects
(cont)
Zora Lines of Chat vs. Objects
1200
1000
Objects
800
y = -0.0037x 2 + 3.2174x + 179.1
600
400
200
0
0
20
40
60
80
Lines of Chat
100
120
140
160
Data Clustering
Technique for grouping objects based on
similarity
The data in each cluster share a common
trait
Apply statistical analysis on clusters
based on distance, size, etc.
So what?
Use clustering for
standard social
networking analysis,
degrees of separation
Innovative techniques
using conversation
topics, object types,
etc.
Implications
Virtual communities as a source of
positive youth development
Ability to more objectively measure
development and social interactions
between citizens in the virtual community
Application of computer science
techniques to the Child Development
field