TeLLNet                 Learning Analytics for                 Learning Blogospheres                   Manh Cuong Pham, Mi...
MotivationTeLLNet          Knowledge sharing by blogospheres          – Blog-based learning activities / informal learning...
Research Questions                             and MethodologiesTeLLNet                                 Structural Analysi...
Research Questions                             and MethodologiesTeLLNet                                 Structural Analysi...
Structural AnalysisTeLLNet          SNA measures          – Local clustering coefficient          – Global clustering coef...
Identification of Individual                          Social Capital          Given the network G=(V,E), where V is the se...
European eTwinning Blog Network          Project diary network statistics (as of Nov., 2011)TeLLNet                  #Blog...
Structural Analysis on Project Diary                       NetworkTeLLNet          Power law distribution   High-degree te...
Research Questions                             and MethodologiesTeLLNet                                 Structural Analysi...
Content AnalysisTeLLNet           For blog entries and blog comments            – Analysis of rising and falling topics, u...
A Media Base for Web 2.0 Media          Social software data collected inTeLLNet   Communities of Practice            •   ...
Bursty Topics          in the Mediabase Blog Network                       #Words    Year of 2011   2640TeLLNet           ...
Interactive Chart of Rising and                   Falling BurstsTeLLNet                                            13
Conclusions & Outlook                                                                                               How to...
Advanced Community Information                  Systems (ACIS)TeLLNet          Web Engineering                            ...
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Learning Analytics for Learning Blogospheres

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Learning Analytics for Learning Blogospheres

  1. 1. TeLLNet Learning Analytics for Learning Blogospheres Manh Cuong Pham, Michael Derntl, Yiwei Cao, and Ralf Klamma RWTH Aachen University Advanced Community Information Systems (ACIS) September 2, 2012, Sinaia, Romania 1 This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
  2. 2. MotivationTeLLNet 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? 2
  3. 3. Research Questions and MethodologiesTeLLNet Structural Analysis Applied in eTwinning Social blogs SNA capital Blog How to conduct SNA to identify social capital? How to integrate both Learning analytics to make analytics learning analytics approaches? Blogging Complete Capture ideas & learn new ideas Content Analysis Applied in Mediabase Burst blogs analysis Develop Get “half- How to conduct content analysis feedback baked” ideas to identify topic bursts and shifts? 3
  4. 4. Research Questions and MethodologiesTeLLNet Structural Analysis Applied in eTwinning Social blogs SNA capital Blog How to conduct SNA to identify social capital? How to integrate both Learning analytics to make analytics learning analytics approaches? Blogging Complete Capture ideas & learn new ideas Content Analysis Applied in Mediabase Burst blogs analysis Develop Get “half- How to conduct content analysis feedback baked” ideas to identify topic bursts and shifts? 4
  5. 5. Structural AnalysisTeLLNet SNA measures – Local clustering coefficient – Global clustering coefficient 3× number of triangles D= number of connected triples – Betweenness; diameter; average path length; etc. Social capital – Benefits from the membership in social networks or other social structures – Identified via SNA measures 5
  6. 6. Identification of Individual Social Capital Given the network G=(V,E), where V is the set of nodes and E is theTeLLNet set of edges Structural holes: nodes with high betweenness σ u (i, j ) B (u ) = ∑ u ≠ i ≠ j σ (i, j ) where: σ u ( i , j ): number of shortest paths between nodes i and j that pass through node u σ ( i , j ): total number of shortest paths between nodes i and j Closures: nodes with high local clustering coefficient {v, w ∈ N(u) : (v, w) ∈ E } C(u) = ( N(u) ( N ( u ) − 1 )) / 2 where: N ( u ) is the set of neighbors of node u 6
  7. 7. European eTwinning Blog Network Project diary network statistics (as of Nov., 2011)TeLLNet #Blogs #Blog entries #Comments #Teachers 20963 49604 7184 3264 Blog network G − Node: teacher − Edge − Comments on a blog entry written by the other teachers − Weighted by the number of comments 7
  8. 8. Structural Analysis on Project Diary NetworkTeLLNet Power law distribution High-degree teachers in the center Existence of hubs Stars do not connect to other stars 8
  9. 9. Research Questions and MethodologiesTeLLNet Structural Analysis Applied in eTwinning Social blogs SNA capital Blog How to conduct SNA to identify social capital? How to integrate both Learning analytics to make analytics learning analytics approaches? Blogging Complete Capture ideas & learn new ideas Content Analysis Applied in Mediabase Burst blogs analysis Develop Get “half- How to conduct content analysis feedback baked” ideas to identify topic bursts and shifts? 9
  10. 10. Content AnalysisTeLLNet 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 Topics: Appear Gain popularity Fade – Visual burst analysis – Burst co-occurrence 10
  11. 11. A Media Base for Web 2.0 Media Social software data collected inTeLLNet Communities 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 • ... 11
  12. 12. Bursty Topics in the Mediabase Blog Network #Words Year of 2011 2640TeLLNet Top 100 Politics gaddafi ex. mubarak Tools bitcoin itwin Hardware chromebook Conferences acmmm11 itsc11 websites Bestcollegeson. com TEL screencastcamp MobiMOOC Edcamp Study boost 12
  13. 13. Interactive Chart of Rising and Falling BurstsTeLLNet 13
  14. 14. Conclusions & Outlook How to conduct SNA Blogging process is a self- to identify social capital?TeLLNet regulated learning process Structural Analysis Structural hole eTwinning Learning analytics supports SNA Social blogs capital Closure – Learners share knowledge – Learners’ role changes with dynamics Dynamics considered How to integrate both – Capture of the dynamics of being analytics to make More SNS experts through social capital & blogs learning analytics identification approaches? – Burst topics reflect learning Applied in activities within the blogospheres Content Analysis – Reflecting an overview on Mediabase Burst blogs learning blogospheres analysis Trend over time How to conduct content analysis to identify topic bursts and shifts? 14
  15. 15. Advanced Community Information Systems (ACIS)TeLLNet Web Engineering Responsive Community Web Analytics Open Visualization Community and Information Simulation Systems Community Community Support Analytics Requirements Engineering 15

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