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
T3 - Proceedings - International Computer Software and Applications Conference
SP - 456
EP - 457
BT - Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference, COMPSAC 2017
A2 - Demartini, Claudio
A2 - Conte, Thomas
A2 - Nakamura, Motonori
A2 - Lung, Chung-Horng
A2 - Zhang, Zhiyong
A2 - Hasan, Kamrul
A2 - Reisman, Sorel
A2 - Liu, Ling
A2 - Claycomb, William
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Tovar, Edmundo
A2 - Cimato, Stelvio
A2 - Ahamed, Sheikh Iqbal
A2 - Akiyama, Toyokazu
PB - IEEE Computer Society
T2 - 41st IEEE Annual Computer Software and Applications Conference, COMPSAC 2017
Y2 - 4 July 2017 through 8 July 2017
ER -