Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model
| Autor: | Ardvin Kester S. Ong, Anak Agung Ngurah Perwira Redi, Raphael Andrei V. Robles, Reny Nadlifatin, Isaiash Jeremy T. Tomagos, Michael N. Young, John Francis Diaz, Giero Krissianne Frances Concepcion, Yogi Tri Prasetyo, Francheska Mikaela B. Navata |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Extended Technology Acceptance Model
Knowledge management Computer science E-learning (theory) Geography Planning and Development Distance education TJ807-830 Management Monitoring Policy and Law TD194-195 Structural equation modeling DeLone and McLean IS Success Model Renewable energy sources 0502 economics and business GE1-350 Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry 05 social sciences 050301 education Information quality COVID-19 Usability Environmental sciences distance learning 050211 marketing Technology acceptance model User interface online meeting platforms business Construct (philosophy) 0503 education |
| Zdroj: | Sustainability, Vol 13, Iss 8365, p 8365 (2021) |
| ISSN: | 2071-1050 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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