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Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe
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Social Network Analysis of 45000 Schools: A Case Study about Technology Enhanced Learning in Europe

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Ruth Breuer, Ralf Klamma, Yiwei Cao, Riina Vuorikari …

Ruth Breuer, Ralf Klamma, Yiwei Cao, Riina Vuorikari
EC-TEL 2009, Nice, France, October 1, 2009

Published in: Technology, Education
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  • 1. Social Network Analysis CUELC of 45000 (50000+) Schools: A Case Study of Technology Enhanced Learning in Europe Ruth Breuer, Ralf Klamma, Yiwei Cao, Riina Vuorikari EC-TEL 2009, Nice, France, October 1, 2009 Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-1
  • 2. Social Network Analysis Contributions to EC-TEL so far  2006 - Klamma, Spaniol, Cao, Jarke: Pattern-Based Cross Media CUELC Social Network Analysis for Technology Enhanced Learning in Europe – Media Bases as research tools for TEL – SNA as research methodology for TEL  2007 – Programme Chair   2008 - Petrushyna, Klamma: No Guru, No Method, No Teacher: Self- Oberservation and Self-Modelling of E-Learning Communities – In-depth Analysis of a Media Base for TEL – Combination of SNA and content-based measures  2009 - Breuer, Klamma, Cao, Vuorikari: Social Network Analysis of 45000 Schools: A Case Study of TEL in Europe – eTwinning database of European cooperation between schools Lehrstuhl Informatik 5 – SNA as a tool for teachers (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-2 – Visualization and Usability
  • 3. Agenda  Social Network Analysis – Tools for teachers? CUELC  eTwinng Scenario and teacher-oriented SNA tool – Data Management – Data Analysis – Data Visualization – Comparision of tool use  Conclusions & Outlook  TeLLNet project Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-3
  • 4. Social Network Analysis and Visualization  Social Network Analysis (SNA) [Freeman 1979, CUELC Wasserman and Faust 1994] - Fundamentals of Graph Theory: Size, order, radius, diameter, distances - Bottom-up approach: Searching more complex structures - Structural aspects: Subgraphs, k-cliques, k-plexes, cut points, bridges, clus- tering (coefficients), connectivity, cohesion - Special phenomena: Small-world effect, Pareto distribution - Centralities: Degree, Closeness and Betweenness centrality C D (u ) = d (u ) σ (u ) CC (u ) = 1 C B (u ) = ∑ st ∑ d (u, v ) v ∈V s , t ≠ u σ st  Network Visualization [Brandes and Wagner 2004, Krempel 2005] Lehrstuhl Informatik 5 - The goal is to communicate complex information intuitively (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-4 - Human perception sets limits to distinguish colors and shapes
  • 5. Social Networks and Tools  Most popular social networks realize only few analysis aspects CUELC  Analysis and visualization tools are not sufficient or too complex Network Workbench Visone [Brandes and Wagner 2004] Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-5
  • 6. eTwinning Scenario eTwinning: CUELC • Founded in 2005 and coordinated by the European Schoolnet • Projects must be done by two or more partners from different countries • Internet platform with workspaces and (com- munication) tools Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-6
  • 7. Data Management for the Case Study CUELC Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-7
  • 8. Data Preprocessing  Amount of available information: – 40450 schools, 45217 teachers, 8361 projects CUELC – not all attributes are required or should be aggregated – many data records contain uncertain or wrong information  A new relational database with tables for: – schools, teachers, projects and countries – affiliation between teachers – schools – affiliation between teachers/schools – projects Noise in data records 100,00% 45,12% 46,15% 14,10% 10,44% 10,00% 3,89% impossible numbers of pupils 1,00% impossible ages unexpected values blank values 0,10% 0,08% 0,05% Lehrstuhl Informatik 5 0,01% (Informationssysteme) 0,01% Prof. Dr. M. Jarke I5-RK-0909-8 Schools Projects Teachers 8
  • 9. Statistical and Analytic Functions  Statistical information from the database  Already interpreted questions create networks on CUELC demand, reduced to - “Answer-“nodes and all nodes on shortest paths in-between - Direct neighbours - Edges are automatically deleted, if end points are removed  SNA aspects can be applied to the current network Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-9
  • 10. Speed of growth  The teacher network grows much more than the school network  The country network is nearly completely connected CUELC Network growing Network growing by registration of schools by registration of teachers 10000 16000 9129 9000 8616 14000 13469 8000 12000 7000 10945 6000 10000 9724 5000 8000 6411 4000 6000 3000 4000 2000 1848 1746 1814 2771 2207 2560 1000 2000 110 45 518 0 0 0 2005 2006 2007 2008 2005 2006 2007 2008 new nodes total edges new nodes total edges Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-10
  • 11. Visual Analytics, e.g. for the Teacher Network of 2008 CUELC 75 % of nodes are not connected Labels and dates help to identify complete substructures Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-11
  • 12. Analysis of Subnetworks  22 complete substructures  Largest component with 65 nodes, 213 edges CUELC  Diameter 10, radius 5  12 cut points and 4 bridges  Clustering coefficient 0,81 Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-12
  • 13. Usage in the Evaluation  Evaluation with CUELC – German teachers who participate in eTwinning – “Web Science” students from RWTH Aachen University  Teachers were Positively rated Negatively rated – Fewer – But used the tool more Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-13
  • 14. Prior Knowledge and Handling CUELC Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-14
  • 15. Impressions of Visualization and Statistics CUELC Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-15
  • 16. Knowledge and its Application CUELC Teachers do not get it! Lehrstuhl Informatik 5 (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-16
  • 17. Conclusions  SNA & visualization as tools for competence CUELC development for teachers in learning networks  eTwinning case study – Complex data management issues – Visual complexity of networks – Experimenting with web-based tools – Evaluation demonstrated – Usefulness of the tool and the approach – Need for teacher training in theory and practice Lehrstuhl Informatik 5 – Study effect of interventions by training (Informationssysteme) Prof. Dr. M. Jarke in the eTwinning database I5-RK-0909-17
  • 18. Outlook: TeLLNet Project Teachers' Lifelong Learning Networks  Project within the EU Lifelong Learning Programme CUELC  3 years duration  Project idea: Competence development for teachers in learning networks with social network analysis and scenario building based on eTwinning  Partners – European Schoolnet – Institute for Prospective Tecnological Studies (IPTS) – Joint Research Centre of the European Comission – Open University of the Netherlands Lehrstuhl Informatik 5 – RWTH Aachen University (Informationssysteme) Prof. Dr. M. Jarke I5-RK-0909-18

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