Combinations of Personal Characteristic Types and Learning Effectiveness of Teams

Hironori Washizaki, Yusuke Sunaga, Masashi Shuto, Katsuhiko Kakehi, Yoshiaki Fukazawa, Shoso Yamato, Masashi Okubo, Bastian Tenbergen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In software and IT systems engineering, personal characteristics are expected to impact performance and attitude. To clarify the optimal composition in a team of students in academic education, we researched the relationship between student personality characteristics and learning effectiveness of teams using the Five Factor and Stress theory (FFS). The results taken from a Project-based Learning (PBL) course at Waseda University showed that educational effectiveness is highest when a team consists of management and anchor types without leadership types. In addition to FFS, we are currently adopting the Five Factor Model (FFM), which is a well-accepted personal characteristic model, to dig deeper the relationship in different courses on IT systems and software development conducted at various universities. Preliminary results show that although individual characteristics are not strongly correlated to learning effectiveness, there are a few strong team correlations. As our future work, we plan to acquire more data and investigate relationship between FFS measurements and FFM ones in terms of learning effectiveness.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
EditorsClaudio Demartini, Thomas Conte, Motonori Nakamura, Chung-Horng Lung, Zhiyong Zhang, Kamrul Hasan, Sorel Reisman, Ling Liu, William Claycomb, Hiroki Takakura, Ji-Jiang Yang, Edmundo Tovar, Stelvio Cimato, Sheikh Iqbal Ahamed, Toyokazu Akiyama
PublisherIEEE Computer Society
Pages456-457
Number of pages2
ISBN (Electronic)9781538603673
DOIs
Publication statusPublished - 2017 Sep 7
Event41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 - Torino, Italy
Duration: 2017 Jul 4 → 2017 Jul 8

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Other

Other41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017
CountryItaly
CityTorino
Period17/7/4 → 17/7/8

Keywords

  • communication
  • coordination
  • five factor and stress theory (FFS)
  • five factor model (FFM)
  • information system education
  • personal characteristics
  • project-based learning (PBL)
  • software and systems engineering education

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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    • Cite this

    Washizaki, H., Sunaga, Y., Shuto, M., Kakehi, K., Fukazawa, Y., Yamato, S., Okubo, M., & Tenbergen, B. (2017). Combinations of Personal Characteristic Types and Learning Effectiveness of Teams. In C. Demartini, T. Conte, M. Nakamura, C-H. Lung, Z. Zhang, K. Hasan, S. Reisman, L. Liu, W. Claycomb, H. Takakura, J-J. Yang, E. Tovar, S. Cimato, S. I. Ahamed, & T. Akiyama (Eds.), Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017 (pp. 456-457). [8029642] (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2017.288