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E-Learning Social Network Analysis for Social Awareness

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Research Pool. All. E-learners. All. E-learners. Total nodes ... Support learning cues. Social Intelligence. act wisely in human relations (Thorndike, 1920) ... – PowerPoint PPT presentation

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Title: E-Learning Social Network Analysis for Social Awareness


1
E-Learning Social Network Analysis for Social
Awareness
  • Dr Niki Lambropoulos
  • London South Bank University
  • HCI Education Research Fellow

THE EURO-CAT CSCL PROJECT http//www.cat-cscl.eu
2
Agenda
  • HCI Design Research
  • SNA Methodology
  • Case Study
  • Results
  • Conclusions

3
HCI Design Research
  • Context GR Teachers Passive/Active
    Participation in E-learning Courses
  • Ensuring Human Values
  • Social Awareness in E-Learning
  • Hypothesis if they see they might
  • Study SNA Software
  • Design Prototypes
  • Build Prototypes
  • Evaluate Real Users Developers

4
Conceptual Analysis
  • Human Values Social Awareness in E- Learning

Concepts towards requirements
5
Social Awareness Collaborative e-Learning gtSNA
Bakharia, 2008
6
Study Context - SNA
  • Greek Teachers perceptions
  • Greek School Network operation
  • Greek Ministry of Education e-learning
    legislation e-readiness (poor)
  • SNA Theories Software
  • Global (set) Local SNA (subset)
  • Visualisation, quantification, structural
    exploration
  • SoNIA, Pajek, UCINET
  • JUNG Java Universal Network/Graph Framework to
    support Local SNA

7
Design Build Prototypes
Tie (dual coding)
VIT Centrality
VIT Nodes
8
Evaluate Change on Prototype
Teachers Developers (case study focus group,
overall Pedagogical Usability score 4.2)
Passive participants
VIT Centrality
9
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 (n1, 3),
    14 between 30-40 years old (n14, 36), and 24
    older than 40 years old (n24, 61) (1 missing).

10
SNA on Forum Interface
11
Active Participation!
12
Global SNA Set (study)
  • Density
  • Reciprocity
  • Cliques
  • Structural equivalence

The Matrix - UCINET
13
Density (Quantiification)
Table 6.5.7.1-1. Group Network Cohesion Density
Reciprocity
GROUP NETWORK COHESION DENSITY RECIPROCITY GROUP NETWORK COHESION DENSITY RECIPROCITY GROUP NETWORK COHESION DENSITY RECIPROCITY GROUP NETWORK COHESION DENSITY RECIPROCITY GROUP NETWORK COHESION DENSITY RECIPROCITY
GSN GSN Research Pool 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
Fahys density does not consider interaction time
and is highly sensitive to group size (2a/N(N-1))
14
Reciprocity (Visualisation)
E-learners Reciprocal ties
15
Cliques (Structural exploration)
CLIQUES CLIQUES CLIQUES CLIQUES CLIQUES
Minimum set size of participants Moodle_at_GSN Moodle_at_GSN Research Pool Research Pool
Minimum set size of participants 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
16
Structural equivalence (Visualisation)
Structural equivalence dendrogram
17
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 provides a macro view to identify the
    knowledge brokers e-learning community leaders

18
Local SNA Subset (forum)
  • Pedagogical Usability low learnability (2.7),
    thus low use (2.4)

VIT Nodes Centrality
19
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 provides a micro view for insights
    in e-learners behaviour

20
Conclusions
  • If we see we might ?
  • Favourable conditions
  • Prior knowledge, other e-learners, e-tutors,
    tools
  • SNA in Educational Social Software
  • Community management and tools for changing
    needs, interaction styles learning
  • Support learning cues
  • Social Intelligence
  • act wisely in human relations (Thorndike, 1920)

21
Any Questions?? Thank you!
  • Dr. Niki Lambropoulos
  • lampron2_at_lsbu.ac.uk

Community-based Innovation Designing Shared
Spaces for Collaborative Creativity A Special
Issue for International Journal of Web Based
Communities (IJWBC) Editors Lambropoulos
Romero
22
Euro-CAT CSCL
  • Collaboration Awareness tool (CAT) for CSCL
    users

THE EURO-CAT CSCL PROJECT http//www.cat-cscl.eu
Find VIT_at_ www.intelligentQ . NET/e-learning
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