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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
編集者Claudio 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
出版社IEEE Computer Society
ページ456-457
ページ数2
ISBN(電子版)9781538603673
DOI
出版ステータスPublished - 2017 9 7
イベント41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 - Torino, Italy
継続期間: 2017 7 42017 7 8

出版物シリーズ

名前Proceedings - International Computer Software and Applications Conference
1
ISSN(印刷版)0730-3157

Other

Other41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017
CountryItaly
CityTorino
Period17/7/417/7/8

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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