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 language | English |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017 |
| Publisher | IEEE Computer Society |
| Pages | 456-457 |
| Number of pages | 2 |
| Volume | 1 |
| ISBN (Electronic) | 9781538603673 |
| DOIs | |
| Publication status | Published - 2017 Sep 7 |
| Event | 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 - Torino, Italy Duration: 2017 Jul 4 → 2017 Jul 8 |
Other
| Other | 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017 |
|---|---|
| Country | Italy |
| City | Torino |
| Period | 17/7/4 → 17/7/8 |
Fingerprint
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
Cite this
Combinations of Personal Characteristic Types and Learning Effectiveness of Teams. / Washizaki, Hironori; Sunaga, Yusuke; Shuto, Masashi; Kakehi, Katsuhiko; Fukazawa, Yoshiaki; Yamato, Shoso; Okubo, Masashi; Tenbergen, Bastian.
Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017. Vol. 1 IEEE Computer Society, 2017. p. 456-457 8029642.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Combinations of Personal Characteristic Types and Learning Effectiveness of Teams
AU - Washizaki, Hironori
AU - Sunaga, Yusuke
AU - Shuto, Masashi
AU - Kakehi, Katsuhiko
AU - Fukazawa, Yoshiaki
AU - Yamato, Shoso
AU - Okubo, Masashi
AU - Tenbergen, Bastian
PY - 2017/9/7
Y1 - 2017/9/7
N2 - 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.
AB - 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.
KW - communication
KW - coordination
KW - five factor and stress theory (FFS)
KW - five factor model (FFM)
KW - information system education
KW - personal characteristics
KW - project-based learning (PBL)
KW - software and systems engineering education
UR - http://www.scopus.com/inward/record.url?scp=85031903892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85031903892&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2017.288
DO - 10.1109/COMPSAC.2017.288
M3 - Conference contribution
AN - SCOPUS:85031903892
VL - 1
SP - 456
EP - 457
BT - Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
PB - IEEE Computer Society
ER -