Disentangling the influence of mobile learning usability and its determinants–PLS-SEM and importance-performance investigation
Journal
Computers and Education Open (CAEO)
ISSN
2666-5573
Type
journal article
Date Issued
2024
Author(s)
Research Team
IWI6
Abstract
Today, numerous mobile learning applications are used to enable learning during the working process or on-the-go. However, few insights that are available regarding mobile application usability (MAU) and its determinants in the context of mobile learning. More specifically, there is a critical need to disentangle the determinants of MAU and their overall impact on MAU while also acknowledging the possible motivational consequences. Therefore, we developed a theoretical model of MAU, its determinants, and its consequences. By utilizing a free simulation experiment, we investigated the role of MAU in the domain of mobile learning. We used structural equation modeling to analyze the theoretical model. The results show a significant influence of MAU on mobile learning compatibility, performance expectancy, and self-efficacy. The results also indicate that compatibility acts as a partial mediator of usability on performance expectancy. Finally, we conducted an importance-performance analysis that reveals key usability insights: UI output, the most critical factor, underperforms, highlighting a major improvement area. UI structure and application design also need enhancement. In contrast, UI input and application utility perform well despite lower importance, with UI graphics showing adequate performance despite being least crucial. The present paper contributes to the discussion concerning MAU and its impact on mobile learning, while delivering formative insights of MAU for mobile learning applications.
Language
English
Keywords
Mobile Application Usability
Mobile Earning
Application
Compatibility
Performance
Expectancy
Self Efficacy
HSG Classification
contribution to scientific community
Refereed
Yes
Volume
7
Number
December
Pages
17
Division(s)
File(s)![Thumbnail Image]()
Name
JML_991.pdf
Size
2.62 MB
Format
Adobe PDF
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