Activity-led learning approach and group performance analysis using fuzzy rule-based classification model

In order to enhance students' problem-solving competences it is necessary to develop their technical skill as well as their soft skills such as business, communication and team working. In this paper, we present an Activity-Led Learning (ALL) approach and analyze its impact on students' engagement (time-on-task), satisfaction and group performance. We propose a Group Performance Model (GPM) to deploy ALL effectively in the master-level, Network Planning and Management, module. The model provides a structure within which students are introduced to the ALL pedagogical methodology. The model systematically helps to facilitate group formation and allows group integration and cooperation by developing 'common ground' amongst group members. In order to evaluate the usage of GPM in ALL, we conducted group performance analysis using a fuzzy rule-based classification model. The results of the analysis showed that the application of GPM resulted in a reduction in overall time spent on tasks, while achieving better grades. This indicates that GPM can help groups to develop common ground, coordinate their activities and overcome inter-personal issues to achieve better overall performance in shorter times as opposed to groups in which GPM has not been applied. Students' direct feedback on module also shows the effectiveness of ALL on students' performance in general.