TY - GEN
T1 - Three Common Group Formations in Online Collaborative Learning
AU - Wu, Tao
AU - Chang, Maiga
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - With the widespread use of emerging computer technologies in teaching and learning, computer-supported collaboration as a beneficial teaching and learning strategy is now embraced in campus. Analyzing the influencing factors of individual participation is important to discover a more efficient group forming in terms of accomplishing collaborative learning tasks. Through the social network analysis approach on the collected data, this research has found that personality trait does affect a student’s activeness and the group’s mode. Three main group modes are discovered: Unipolar, Multi-Center, and Centerless-Flat mode. Multi-Center group mode is more stable and has higher average academic achievement than the other two modes. The research findings can be used to implement an intelligent tutoring system that can make recommendations for teachers on the better options of grouping students based on their personality traits.
AB - With the widespread use of emerging computer technologies in teaching and learning, computer-supported collaboration as a beneficial teaching and learning strategy is now embraced in campus. Analyzing the influencing factors of individual participation is important to discover a more efficient group forming in terms of accomplishing collaborative learning tasks. Through the social network analysis approach on the collected data, this research has found that personality trait does affect a student’s activeness and the group’s mode. Three main group modes are discovered: Unipolar, Multi-Center, and Centerless-Flat mode. Multi-Center group mode is more stable and has higher average academic achievement than the other two modes. The research findings can be used to implement an intelligent tutoring system that can make recommendations for teachers on the better options of grouping students based on their personality traits.
KW - Big Five Inventory (BFI)
KW - Collaborative Learning
KW - Personality traits
KW - Social messaging app
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85112281194&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-80421-3_39
DO - 10.1007/978-3-030-80421-3_39
M3 - Published Conference contribution
AN - SCOPUS:85112281194
SN - 9783030804206
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 357
EP - 363
BT - Intelligent Tutoring Systems - 17th International Conference, ITS 2021, Proceedings
A2 - Cristea, Alexandra I.
A2 - Troussas, Christos
T2 - 17th International Conference on Intelligent Tutoring Systems, ITS 2021
Y2 - 7 June 2021 through 11 June 2021
ER -