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IJIET 2020 Vol.10(10): 744-750 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.10.1452

The Influence of Group Big-Five Personality Composition on Student Engagement in Online Discussion

Xiaojie Zhang, Guang Chen, and Bing Xu

Abstract—To explore the influence of the group personality composition on students' engagement in the online discussion, correlation analysis was conducted among the Big-5 personality of group members and student engagement in the group. This study comprehensively used four measurement indicators of the Big-Five personality of group members as group composition: average, variance, maximum, and minimum. In this study, student engagement was divided into behavioral engagement, affective engagement, and cognitive engagement. The study found that the combination of the Big-Five personalities in the group could have an impact on student engagement, especially affective engagement. When organizing students' online discussion, the instructors need to consider the personality characteristics of the group members carefully.

Index Terms—Five-factor personality, personality Composition, student engagement, online discussion.

Xiaojie Zhang and Guang Chen* are with School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing, China (e-mail: zhang_xiaoxiao_jie@163.com, guang@drgchen.com*). Bing Xu was with Beijing Normal University, Beijing, 100875 China. She is with University of Auckland, Auckland, New Zealand (e-mail: bing.xu@auckland.ac.nz).


Cite:Xiaojie Zhang, Guang Chen, and Bing Xu, "The Influence of Group Big-Five Personality Composition on Student Engagement in Online Discussion," International Journal of Information and Education Technology vol. 10, no. 10, pp. 744-750, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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