State of the Art: Usability Test based on the Mobile Learning System (MLS) with help of System Usability Scale

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Volume 3 Issue 2 2022

Author(s):

Liaquat Ali Jamrro

Pir Raheel Hussain

Allah Bachayo Brohi*

Samheia Affrah

Abstract The increasing prevalence of technology has had a significant impact on various domains of life, including education. In this context, the present study proposes the development and usability testing of a Mobile Learning System (MLS) application. The MLS is intended to revolutionize the traditional education system by integrating technology into the learning process, making it more accessible, enjoyable, and effective. The primary objective of the MLS is to allow students to learn at their own pace, anytime and anywhere, without any time or place restrictions. The proposed MLS application has been designed to facilitate access to educational material in the form of videos, images, and text, which in turn makes learning more interactive and engaging. The study aims to evaluate the usability of the MLS using the System Usability Scale (SUS). The survey will be conducted after the development and implementation of the MLS app, and will involve the participation of students who will be using the app. The results of the study are expected to contribute to the understanding of the usability and effectiveness of the MLS application in enhancing the learning experience of students. The proposed MLS application has the potential to transform the traditional education system by leveraging technology to provide students with a more flexible, accessible, and engaging learning experience. The findings of this study may have implications for the design and development of future mobile learning applications, as well as for the integration of technology in the field of education.
Keywords System Usability Test (SUT), Mobile Learning system (MLS), System Usability Scale (SUS).
Year 2022
Volume 3
Issue 2
Type Research paper, manuscript, article
Recognized by Higher Education Commission of Pakistan, HEC
Category
Journal Name ILMA Journal of Technology & Software Management
Publisher Name ILMA University
Jel Classification --
DOI -
ISSN no (E, Electronic) 2709-2240
ISSN no (P, Print)
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link https://ijtsm.ilmauniversity.edu.pk/arc/Vol3/i2/4.pdf
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