Segmenting Student User Profiles for Microsoft Teams at Kuwait University: An Investigation Using SUS and K-Means Clustering


In the context of higher education, efficient use of digital tools and platforms has become more important for both students and professors. The purpose of this research is to better understand the user experience and usability of Microsoft Teams, a popular communication and collaboration tool among Kuwait University students. To accomplish this, we used the System Usability Scale (SUS) questionnaire to collect useful input from students on their Microsoft Teams experiences. Following that, we used K-Means clustering analysis to classify the various student user profiles based on their SUS responses.
Our research sought to identify trends and insights concerning the usability of Microsoft Teams as seen by Kuwait University students. The findings reflect diverse user groupings among the student population, each with a unique perspective on the platform's usability. Our data indicate a modest level of usability satisfaction among students, with a Mean SUS Score of 59.1
These user profiles provide valuable insights for educators and administrators seeking to tailor their approach by offering a data-driven approach to segmenting student user profiles and enhancing the usability of digital tools in higher education.
The present study makes a valuable contribution to the domain of educational technology. It aids with the continuous endeavors aimed at improving the e-learning experience for students at Kuwait University and beyond by finding specific areas for enhancement and tailoring the platform's features to cater to various user groups.

Author Information
Eiman Al-Shammari, Kuwait University, Kuwait

Paper Information
Conference: SEACE2024
Stream: Learning Experiences

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Posted by James Alexander Gordon