University of Twente Student Theses


Validating Belbin Roles Based on University Students' Discord Messages

Dichev, Konstantin (2022) Validating Belbin Roles Based on University Students' Discord Messages.

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Abstract:Social media has found its way into education and together with team formation has started to play a big role in the life of students’ university progress. In this paper, we discuss ways of validating Belbin roles by doing focused research on the direct effects of communication and verbal behavior in the social media environment of Discord, where the official University of Twente channels are hosted. Previous research has tried to generally analyze and give predictions about the influence of social media on the learning curve of students but was not concentrated on understanding the behavior of students within teams and directly linking it to Belbin roles which is crucial for forming teams. Furthermore, working with real-life data extracted from official university channels will give us an opportunity to propose a methodology and a pilot Belbin role automation tool to look further into the specifics of the problem. In addition, linking this to team roles and behavior concerns within the project teams will open the horizon for further research on how the performance of students within the teams is affected. We propose to create a preliminary tool and framework for validating Belbin roles through real-life social network data. Results show that it is possible to identify Belbin roles using natural language processing, but in order to maximize the accuracy, it is necessary to refine the set of words associated with every single personality trait
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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