gwo-dong chen and kuo-liang ou national central university
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Using groups ’ communication to detect the group roles and discover the group role influence on group learning performance. Gwo-Dong Chen and Kuo-Liang Ou National Central University. outline. Introduction Group roles Methodology Experience and Results Conclusion. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
Using groups’ communication to detect the group roles and discover the group role influence on group learning performance
Gwo-Dong Chen and Kuo-Liang Ou
National Central University
outline Introduction Group roles Methodology Experience and Results Conclusion
Introduction The group members’ influence
As people are brought together, individual behaviors are influenced by members (Stott and Walker, 1995)
The group members’ interaction and influence must be managed (Sommerville and Dalziel, 1998)
Introduction To deal with interaction and influence
Role theory was proposed and indicates the group role and its’ functionality (Belbin and Thomas, 1966)(Heap,1977)
Experience and methods are proposed to explore role influence (Henry and Steven, 1999 ; Sommerville and Dalziel, 1998)
These roles could be obtained by a questionnaires (Belbin, 1981)
However, on a web group learning environment, teachers need an on-line group role extractor and the influence explorer
Introduction Research Goal
Extracting the roles of web group learning on-line by analyzing group interaction
Exploring the influence of group roles on learning performance
Introduction Issues
Group interaction are non-organized, and the number of interactions is large
Group roles are hardly to be extracted from group interaction
Influences of group roles on learning performance are complex and hardly to be discovered
Introduction Method
Text Miner : extract the interaction topics and abstracts for teachers categorizing the interaction
Classification : extracting the group roles by training data defined by teachers’ expert knowledge
Bayesian Belief Network : explore the role influence by causal network
Introduction The indicators of learning
performance Group project grade Resource sharing Drop out rate
Group Roles Group Roles (Benne and Sheats, 1948)
Group task roles Group building and maintenance roles Personal roles
Group Roles Group task roles (heap, 1977)
Initiator-contributor Information-seeker Opinion-seeker Information-giver Opinion-giver Elaborator Coordinator Orienter Evaluator-critic Energizer Procedural technician
Group Roles Group building and maintenance
roles (heap, 1977)
Encourager Harmonizer Compromister Gate-keeper and expediter Standard-setter or ego ideal Group-observer and commentator follower
Group Roles Personal roles (heap, 1977)
Aggressor Blocker Self-confessor Playboy Fence-mender Cover-the cracks Dominator Fellow-traveler Blue-nose Trouble-maker Cynical One track-mind Egocentric Problem orientated
Methodology IBM Intelligent Miner for text
Extracting the communication topics Extracting the communication abstract
IBM Intelligent Miner for data : Classification Teachers observe the communication topics and
abstract Classify some roles of students as the training data with
expert domain knowledge Remain students will be classified into roles by classifier
BKD (Bayesian Knowledge Discover)(Open University, UK)(Ramoni, and Sebastiani ,1997)
Explore the influence of group roles on learning performance and presents with Bayesian Belief Network
Methodology The Data Schema of Communication
From : group 10 , 82556002To : group 10, 82556004Date : 2000,06,05Subject : Could you give me some hint about chapter 4Content : Dear Michelle, I am sorry to be late for the on-line
conference of our group this morning. I have a question and need a favor from you. In the chapter 4, page 45, teachers have illustrated last week. Can you kindly tell me the purpose of a member function in an object in the object oriented programming language?
Attribute Name Group ID Deliver ID Receiver ID Date of Issue
Subject Content
Data Type Number Number Number Date Text Text
MethodologyCategorizing Tool of Text Analysis
Training Discussion in
Category 1
Training Discussion in
Category 2
Vocabulary of Category 1
Vocabulary of Category 2
Full Category Schema
All the Discussion Documents
Categorization Filter
Categorized Documents
Experience and Results Communication topics
classificationCategory List Ranking Score
Question for Chapter 1 0.421165
Question for Chapter 2 0.200785
Question for Chapter 3 0.212877
Question for Chapter 4 0.554322
Inquiry for system and environment 0.287286
Gossips discussion 0.336911
… …
Experience and Results Communication abstract extracting
what is the purpose of a member function in an object in object oriented programming language?
Experience and Results 11 group roles are detected
Group roles Accuracy of classification
Initiator - contributor 92.5
Information - giver 95
Opinion - giver 97.5
coordinator 95
energizer 97.5
Procedural technician 60
encourager 97.5
harmonizer 77.5
Playboy 92.5
dominator 97.5
Fellow-traveler 97.5
Experience and Results Significant of group roles influence
on learning performanceGroup roles Accuracy of classification
Initiator - contributor 0.000*
Information - giver 0.000*
Opinion - giver 0.185
coordinator 0.000*
energizer 0.000*
Procedural technician 0.011
encourager 0.000*
harmonizer 0.018
Playboy 0.008*
dominator 0.000*
Fellow-traveler 0.003*
* p < 0.01
Experience and Results Influence on group project grade
Experience and Results Influence on resource sharing
frequency
Experience and Results Influence on drop out rate
Conclusion Successfully organize and
categorize the group communication by extracting topics and abstracts
Successfully detect 11 group roles by classifying group communications
Conclusion Explore the influence of group roles on
learning performance by Bayesian Belief Network The initiator and dominator improve the group
project grades The procedure technician improve the
resource sharing frequency but follow-traveler not
Both the playboy and follow-traveler have high probability to be dropped out before class end