Grouping strategy using Enneagram typologies

Abstract

Students are often encouraged to work in groups to solve complex tasks and develop collaboration skills. Classical grouping strategies don't take into account the student's personality or the compatibilities of group members. We introduce an alternative grouping method based on the student typologies and their neuro-linguistic programming (NLP) profile. Typologies are determined, according to the Enneagram methodology, based on the RHETI test. The result of such a test is a chief feature (base typology). Groups are composed of members with compatible chief features. Compatibilities are determined according to the Enneagram principle. New grouping correlations were introduced based on MBTI types. The NLP profile is evaluated by an eye-tracking system, based on eye movement patterns. The proposed grouping method was tested using an e-learning environment, which consists of a CMS (Content Management System) and an eye-tracking component. Eye tracking is based on a low-cost solution that uses a regular webcam. Groups created using this method show an increased communication among the members and better practical results. The tests were realized considering Bachelor and Master of Science students in different educational and practical work activities.