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Measuring perceived usability of university students towards a student information system (SIS): A Turkish university case

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  • Demırkol, Denizhan
  • Seneler, Cagla
  • Daım, Tugrul
  • Shaygan, Amir

Abstract

Student Information System (SIS) offers many functions in order to sustain academic workflow. SIS's usability is also important in terms of maintaining its functions. Although user experience of various information systems has been studied in the literature related to perceived usability, this is not the case for the SIS. The aim of this study is examining a SIS's usability through using Turkish version of the System Usability Scale (SUS-TR). In total, 324 undergraduate students responded to SUS-TR. The research was conducted to uncover whether students' perceived usability about a SIS can differ based on their demographic information, their dis/liked features on the SIS or their recommendations for increasing usability of the SIS. According to findings there exists a statistically significant relationship between the age groups of the students and the categorized SUS-TR score groups. Moreover, there is a statistically significant relationship between students' categorized SUS-TR score groups and the most disliked features of the SIS. As a result of this research, it has been found that analyzing users' perceived usability variations amongst different student groups may be valuable because focusing on these variations has the potential to raise user experiences of users with any SIS.

Suggested Citation

  • Demırkol, Denizhan & Seneler, Cagla & Daım, Tugrul & Shaygan, Amir, 2020. "Measuring perceived usability of university students towards a student information system (SIS): A Turkish university case," Technology in Society, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x19305986
    DOI: 10.1016/j.techsoc.2020.101281
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    References listed on IDEAS

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    1. Olav Eikeland, 2013. "Symbiotic Learning Systems: Reorganizing and Integrating Learning Efforts and Responsibilities Between Higher Educational Institutions (HEIs) and Work Places," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(1), pages 98-118, March.
    2. Christopher Durney & Richard Donnelly, 2015. "Managing the Effects of Rapid Technological Change on Complex Information Technology Projects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(4), pages 641-664, December.
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    Cited by:

    1. Huang, Zhao & Mou, Jian, 2021. "Gender differences in user perception of usability and performance of online travel agency websites," Technology in Society, Elsevier, vol. 66(C).
    2. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Yavuz, Merve & Çorbacıoğlu, Eda & Başoğlu, Ahmet Nuri & Daim, Tugrul Unsal & Shaygan, Amir, 2021. "Augmented reality technology adoption: Case of a mobile application in Turkey," Technology in Society, Elsevier, vol. 66(C).
    4. Marinho, Marcelo & Amorim, Luís & Camara, Rafael & Oliveira, Brigitte Renata & Sobral, Marcos & Sampaio, Suzana, 2021. "Happier and further by going together: The importance of software team behaviour during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 67(C).

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