期刊
SUSTAINABILITY
卷 13, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/su13158365
关键词
distance learning; COVID-19; online meeting platforms; Extended Technology Acceptance Model; DeLone and McLean IS Success Model
资金
- Mapua University Directed Research for Innovation and Value Enhancement (DRIVE)
The study found that the acceptance of online learning platforms is related to factors such as user interface, perceived ease of use, perceived usefulness, information quality, and system quality, which in turn influence students' intention for actual use.
Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.
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