learning analytics for learning blogospheres
TRANSCRIPT
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Learning Analytics for Learning Blogospheres
Manh Cuong Pham, Michael Derntl, Yiwei Cao, and Ralf Klamma
RWTH Aachen UniversityAdvanced Community Information Systems (ACIS)
September 2, 2012, Sinaia, Romania
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Motivation
Knowledge sharing by blogospheres– Blog-based learning activities / informal learning (klamma
et al., 2007; Robes, 2005)The dynamics of learning blogospheres– Change of content – Change of topics– Emergence of comments/feedback – Bloggers’ expertise– Blogging process is self-regulated learning
Learning analytics helps, but how?
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Research Questions and Methodologies
Structural Analysis
SNA
Content Analysis
Burst analysis
Mediabase blogs
eTwinning blogsSocial
capital
How to conduct SNA to identify social capital?
Applied in
Applied in
How to conduct content analysis to identify topic bursts and shifts?
How to integrate both analytics to make learning analytics approaches?
Blog
Capture new ideas
Develop “half-
baked” ideas
Get feedback
Complete ideas &
learn
Blogging
Learning analytics
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Research Questions and Methodologies
Structural Analysis
SNA
Content Analysis
Burst analysis
Mediabase blogs
eTwinning blogsSocial
capital
How to conduct SNA to identify social capital?
Applied in
Applied in
How to conduct content analysis to identify topic bursts and shifts?
How to integrate both analytics to make learning analytics approaches?
Blog
Capture new ideas
Develop “half-
baked” ideas
Get feedback
Complete ideas &
learn
Blogging
Learning analytics
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Structural Analysis
SNA measures– Local clustering coefficient – Global clustering coefficient
– Betweenness; diameter; average path length; etc.Social capital – Benefits from the membership in social networks or other
social structures– Identified via SNA measures
triplesconnected ofnumber trianglesofnumber 3×
=D
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Identification of Individual Social Capital
Given the network G=(V,E), where V is the set of nodes and E is the set of edgesStructural holes: nodes with high betweenness
where: : number of shortest paths between nodes i and j that pass through node u
: total number of shortest paths between nodes i and jClosures: nodes with high local clustering coefficient
where: is the set of neighbors of node u
∑≠≠
=jiu
u
jijiuB),(),()(
σσ
),( jiuσ
),( jiσ
{ }( )( ) 2/1)(N(u)
E w)(v, :N(u) wv,C(u)
−∈∈
=uN
)( uN
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European eTwinning Blog Network
#Blogs #Blog entries #Comments #Teachers20963 49604 7184 3264
Project diary network statistics (as of Nov., 2011)
Blog network G− Node: teacher− Edge
− Comments on a blog entry written by the other teachers
− Weighted by the number of comments
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Structural Analysis on Project DiaryNetwork
Power law distributionExistence of hubs
High-degree teachers in the centerStars do not connect to other stars
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Research Questions and Methodologies
Structural Analysis
SNA
Content Analysis
Burst analysis
Mediabase blogs
eTwinning blogsSocial
capital
How to conduct SNA to identify social capital?
Applied in
Applied in
How to conduct content analysis to identify topic bursts and shifts?
How to integrate both analytics to make learning analytics approaches?
Blog
Capture new ideas
Develop “half-
baked” ideas
Get feedback
Complete ideas &
learn
Blogging
Learning analytics
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Content Analysis
For blog entries and blog comments– Analysis of rising and falling topics, utterances, and
sentiments– Exploration of trendy topics and topic shifts: topic flow
Burst analysis
– Visual burst analysis– Burst co-occurrence
Appear Gain popularity FadeTopics:
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Social software data collected inCommunities of Practice
• Mailing lists• Newsletter• Websites• RSS Feeds• Blogs
Database support by IBM DB2, eXist, Oracle, ...Widget technology based interface Visualization of
• Graphs• Tree Maps• ...
A Media Base for Web 2.0 Media
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Bursty Topics in the Mediabase Blog Network
#Words Year of 2011 2640Top 100ex.
Politics gaddafimubarak
Tools bitcoinitwin
Hardware chromebookConferences acmmm11
itsc11websites Bestcollegeson.
comTEL screencastcamp
MobiMOOCEdcampStudy boost
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Interactive Chart of Rising andFalling Bursts
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Conclusions & OutlookBlogging process is a self-regulated learning processLearning analytics supports– Learners share knowledge– Learners’ role changes with
dynamics– Capture of the dynamics of being
experts through social capital identification
– Burst topics reflect learning activities within the blogospheres
– Reflecting an overview on learning blogospheres
Structural Analysis
SNA
Content Analysis
Burst analysis
eTwinning blogs
Mediabase blogs
Social capital
How to conduct SNA to identify social capital?
Applied in
How to conduct content analysis to identify topic bursts and shifts?
How to integrate both analytics to make learning analytics approaches?
Structural hole
Closure
More SNS & blogs
Trend over time
Dynamics considered
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Advanced Community Information Systems (ACIS)
Responsive Open
Community Information
Systems
Community Visualization
and Simulation
Community Analytics
Community Support
Web Analytics
Web
Eng
inee
ring
Requirements Engineering