Analyzing Interactions by an IIS-Map-Based Method in Face-to-Face Collaborative Learning: An Empirical Study

This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting informat...

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Bibliographic Details
Published in:Educational technology & society 2012-07, Vol.15 (3), p.116-132
Main Authors: Zheng, Lanqin, Yang, Kaicheng, Huang, Ronghuai
Format: Article
Language:English
Subjects:
China
Coding
Collaboration
Collaborative learning
College Instruction
College Students
Computer Graphics
Computer System Design
Computer Uses in Education
Content Analysis
Cooperative Learning
Data Analysis
Design
Educational Experiments
Educational Technology
Electronic data processing
Empirical analysis
Foreign Countries
Group Activities
Group dynamics
Group work in education
Information attributes
Information flow
Information management
Information processing
Information Science
Information sharing
Interaction
Interaction Process Analysis
Knowledge management
Methods
Network Analysis
Observational studies
Prediction
Predictive Validity
Pretests Posttests
Program Effectiveness
Research Methodology
Social interaction
Special Issue Articles
Speech acts
Speech coding
Team learning approach in education
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Summary:This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly, computing attributes of information flows and analyzing relationships between attributes and group performance. An example illustrates how the methodology uncovers the interaction process based on information flows. The empirical study aims to validate the effectiveness of this method through thirty groups' interactions. The result indicates that quantity of activation of the targeting knowledge network can predict group performance and the IIS-map-based analysis method can analyze interactions effectively. The primary contribution of this paper is the methodology for analysis of interactions based on information flows.
ISSN:1176-3647
1436-4522
1436-4522