The perceived usability of the learning management system during the COVID-19 pandemic: Integrating system usability scale, technology acceptance model, and task-technology fit

Thanatorn Chuenyindee, Lorenzo Dones Montenegro, Ardvin Kester S. Ong, Yogi Tri Prasetyo*, Reny Nadlifatin, Irene Dyah Ayuwati, Thaninrat Sittiwatethanasiri, Kirstien Paola E. Robas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

BACKGROUND: The education system has shifted from traditional to online during the COVID-19 pandemic. Thus, the Learning Management System (LMS) is one of the most important and comprehensive learning platforms that support and facilitate online learning during this pandemic. OBJECTIVE: This study explored the perceived system usability of LMS during the COVID-19 pandemic by utilizing Technology Acceptance Model (TAM), Task-Technology Fit (TTF), and System Usability Scale (SUS). METHODS: An online survey was utilized to collect data from 502 Filipino students from different academic institutions and different areas of study. RESULTS: Structural Equation Modeling (SEM) indicated that students' perceived ease of use of LMS had a significant effect on perceived usefulness which subsequently and positively led to students' perceived satisfaction of LMS. In addition, LMS technology characteristics was found to have a significant effect on LMS task-technology fit which subsequently led to perceived usefulness and perceived satisfaction. Interestingly, perceived satisfaction was found to have a significant effect on students' perceived system usability of LMS which was calculated using a System Usability Scale (SUS). CONCLUSION: The findings have implications within the education system globally, particularly in recognizing the relevance of LMS moving forward. Furthermore, since this is the first study that integrated SUS, TAM, and TTF, the conceptual framework can be utilized to evaluate the perceived usability of LMS worldwide.

Original languageEnglish
Pages (from-to)41-58
Number of pages18
JournalWork
Volume73
Issue number1
DOIs
Publication statusPublished - 22 Jul 2022

Keywords

  • COVID-19
  • learning management system
  • online learning
  • system usability.

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