Automated Criteria Based Group Formation to Improve Team Performance

Group work has been extensively applied in universities for effective
knowledge transfer. Currently, the groups are formed by random grouping, self�select grouping, and instructor-formed grouping. However, the existing approach of
student group formation tend to result in ineffective and unproductive group work as
the group members’ skills does not fully complement each other and gives an
imbalance impact. Although there are methods in coping this redundancy such as
selective appointment method whereas students are grouped based on distinctive
skill, personality, and etc. However, this traditional method consumes time and
energy as it requires manual effort.