e-learning social network analysis for social awareness by niki lambropoulos
DESCRIPTION
E-Learning Social Network Analysis for Social Awareness by Niki Lambropoulos Presentation delivered at the Images of Virtuality Conference Athens, 23-24 April, 2009 http://www.imagesofvirtuality.org/TRANSCRIPT
E-Learning Social Network Analysis for Social Awareness
Dr Niki Lambropoulos
London South Bank University HCI Education Research Fellow
Images of Virtuality, Athens, 23-24 April, 2009Images of Virtuality, Athens, 23-24 April, 2009
http://www.imagesofvirtuality.org/
Agenda
• HCI Design & ResearchHCI Design & Research• SNA MethodologySNA Methodology• Case StudyCase Study• ResultsResults• ConclusionsConclusions
HCI Design & Research
• Context: GR Context: GR Teachers’ Passive/Active Participation in E-learning Courses
• Ensuring Human Values:Ensuring Human Values:– Social Awareness in E-Learning– Hypothesis: if they see they might
• Study: Study: SNA Software • Design: Design: Prototypes• Build: Build: Prototypes• Evaluate:Evaluate: Real Users & Developers
Conceptual Analysis• Human Values: Human Values: Social Awareness in E-
Learning
Concepts towards requirements
Social Awareness + Collaborative e-Learning >SNA
Bakharia, 2008
Study: Context - SNAContext - SNA
• Greek Teachers perceptionsperceptions• Greek School Network operationoperation• Greek Ministry of Education e-learning e-learning
legislation & e-readinesslegislation & e-readiness (poor) • SNA Theories & Software
– Global (set) & Local SNA (subset)Global (set) & Local SNA (subset)– Visualisation, quantification, structural explorationVisualisation, quantification, structural exploration– SoNIA, Pajek, UCINET– JUNG: JUNG: Java Universal Network/Graph Framework
to support Local SNAsupport Local SNA
Design & Build: PrototypesPrototypes
VIT CentralityVIT Nodes
Tie (dual coding)
Evaluate: Change on PrototypePrototype
Passive Passive participants participants
VIT Centrality
Teachers & Developers (case study & focus group, overall Pedagogical Usability score = 4.2)
2 Case Studies
• Started on 01/03/2007 and finished on 31/03/2007, 2 environments,
40 participants• 9 Female (22.5%) & 31 Male (77.5%)• 1 participant between 20-30 years old
(n=1, 3%), 14 between 30-40 years old (n=14, 36%), and 24 older than 40 years old (n=24, 61%) (1 missing).
SNA on Forum Interface
Active Participation!
Correlations between Messages for Analysis, Richness of Text, & Discussion Depth
1
10
100
1000
10000
Subjects & Dates
Messages for Analysis
Richness of Text
Discussion Depth (Participants)
Discussion Depth (E-Tutors)
Global SNA: Set (study)
– Density– Reciprocity– Cliques– Structural equivalence
The Matrix - UCINETThe Matrix - UCINET
Density (Quantiification)
GROUP NETWORK COHESION: DENSITY & RECIPROCITY
GSN Research Pool
All E-learners All E-learners
Total nodes 698 122 81 73
Density (matrix average) 1.0872 0.0256 0.0470 0.0418
Standard deviation 2.0167 0.1819 0.2376 0.2226
Table 6.5.7.1-1. Group Network Cohesion: Density & Reciprocity
Fahy’s density does not consider interaction time and is highly sensitive to group size (2a/N(N-1))
Reciprocity (Visualisation)
E-learners’ Reciprocal ties
Cliques (Structural exploration)
CLIQUES
Minimum set size of participants
Moodle@GSN Research Pool
All E-learners All E-learners
6 2 0 0 0
5 33 0 0 0
4 58 0 2 1
3 68 4 15 12
Structural equivalence (Visualisation)
Structural equivalence dendrogram
Results on Global SNA
• Global SNA helps triangulating the textual, numerical and visual data
• Convergence on:– Interaction patterns – Levels of activity (low, medium, high)– Information pathways– Influential behaviour
Global SNA Global SNA provides a macro view to identify the knowledge brokers & e-learning community leaders
Local SNA: Subset (forum)
Pedagogical Usability: low learnability (2.7), thus low use (2.4)
VIT Nodes & Centrality
Results on Local SNA
• Local SNA helps triangulating the textual, numerical and visual data
• Convergence on:– Collaborative learning– Active learners – Influential behaviour– Interaction patterns
Local SNA VIT Local SNA VIT provides a micro view for insights in e-learners behaviour
Conclusions
• If we see we might If we see we might – Favourable conditions
•Prior knowledge, other e-learners, e-tutors, tools
• SNA in Educational Social Software SNA in Educational Social Software – Community management and tools for changing
needs, interaction styles & learning – Support learning cues
• Social IntelligenceSocial Intelligence– act wisely in human relations (Thorndike, 1920)
Any Questions??
Thank you! Thank you!
Dr. Niki [email protected]
Community-based Innovation: Community-based Innovation: Designing Shared Spaces for Collaborative CreativityDesigning Shared Spaces for Collaborative Creativity
A Special Issue for International Journal of Web Based Communities (IJWBC) Editors: Editors: Lambropoulos & Romero
Euro-CAT CSCL
Collaboration Awareness tool (CAT) for CSCL users
THE EURO-CAT CSCL PROJECT http://www.cat-cscl.eu
Find VITFind VIT@ www.intelligentQ.NET/e-learning