The Five-Factor Model personality assessment for improved student design team performance

Abstract

Researchers have long noted the correlation of various personality traits and team performance. Studies relating aggregate team personality traits to team performance are scattered in the literature and may not always be relevant to engineering design teams. This paper synthesizes the results from applicable Five-Factor Model (FFM)-based personality studies related to engineering design team performance, into a form that can be readily used by non-experts—engineering faculty and students. In addition, an approach is presented where aggregate data is visually presented to recognize patterns that correspond to strength and existence of personality traits within the team as measured by the FFM model while maintaining student confidentiality. With this approach, identification of team strengths and weaknesses stemming from the personality trait distribution is simplified. An assessment of the usability of the approach—completed in two first-year engineering courses—is presented to demonstrate its potential.