Using student conative behaviors and technical skills to form effective project teams

Abstract

Throughout much of the past century, manufacturing efficiencies were gained by constructing systems from independently designed and optimized tasks. Recent theories and practice have extolled the virtues of team-based practices that rely on human flexibility and empowerment to improve system performance. The formation of teams requires the consideration of innate tendencies and interpersonal skills as well as technical skills. In this paper, we discuss an experiment that was run for developing effective student teams. We used the Kolbe Index to help ensure that student conative tendencies are considered along with technical skills. We then developed and solved mathematical programming models to form effective teams. The method can easily moved to an industrial setting.Index Terms -forming student teams, problem solving styles, conative tendencies, ma thematical programming.

Forming effective worker teams with multi-functional skill requirements

“…Lingard and Berry (2000) report that a team synergy measure computed from the KCI showed a significant correlation with team performance in software engineering. Fitzpatrick, Askin, and Goldberg (2001) likewise found significant correlation when evaluating design teams composed of engineering students. An additional experimental study with MBA students at the University of Chicago concluded that the Kolbe Concept was accurate in predicting the performance of teams (Tepke & Davis,1990).…”

Using the Kolbe A™ Conative Index to Study the Retention of Computer Science Students

“…[16] A similar study conducted at the University of Arizona within the Department of Systems and Industrial Engineering produced comparable results. [17] The CSUN study also revealed the interesting fact that it was difficult to form synergistic teams because of a lack of certain conative talents among the population of software engineering students. Another reason for being concerned about retention, therefore, might be to try to retain students in the program with those conative talents that seem to be scarce among upper division computer science students.…”

öğrenci-proje takımı oluşturma problemi için grup-karar verme ve hedef programlama temelli çözüm yaklaşımı

“…Öğrenci-proje takımı oluşturma problemi için matematiksel programlama temelli yaklaşım kullanılan ilk çalışmalardan biri, Proll [11] tarafından yapılan öğrencilerin en çok tercih ettikleri projelere atanmasını sağlayan çalışmadır. Bu konuda yapılan bir diğer çalışmada ise öğrencilerin içgüdüsel davranışlarını ve yeteneklerini ölçmeye yarayan Kolbe indeksi (Kolbe index) parametresinden yararlanılarak bir matematiksel model ve sezgisel yönteme dayalı çözüm yaklaşımı geliştirilmiştir [12]. Geçmiş çalışmalar incelendiğinde, proje takımı oluşturma problemlerinin bir kararlı-eşleştirme problemi (Stable-Matching Problem) olarak ele alındığı çalışmalar görülmektedir.…”