Combinations of Personal Characteristic Types and Learning Effectiveness of Teams

H. Washizaki, Yusuke Sunaga, M. Shuto, K. Kakehi, Y. Fukazawa, Shoso Yamato, Masashi Okubo, B. Tenbergen
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引用次数: 2

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.
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个人特征类型与团队学习有效性的结合
在软件和IT系统工程中,个人特征会影响绩效和态度。为明确学历教育学生团队的最优构成,运用五因素和压力理论(FFS)研究了学生人格特征与团队学习有效性的关系。早稻田大学(Waseda University)项目学习(PBL)课程的结果表明,当一个团队由管理型和锚型组成,而没有领导型时,教育效果最高。除了FFS,我们目前正在采用五因素模型(FFM),这是一种被广泛接受的个人特征模型,在各个大学的IT系统和软件开发的不同课程中更深入地挖掘两者之间的关系。初步结果表明,虽然个体特征与学习效果的相关性不强,但团队特征与学习效果的相关性较强。作为我们未来的工作,我们计划收集更多的数据,研究FFS测量和FFM之间在学习有效性方面的关系。
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