Optimizing Education Processes During the Covid-19 Pandemic Using the Technology Acceptance Model
Bibliographic Data
| ID | 22167014 |
|---|---|
| Authors | Martinus Tukiran (0000-0001-8238-9109, Pakuan University, corresponding author), Widodo Sunaryo (0000-0002-3798-6403, Pakuan University), Dian Wulandari (Pakuan University), Herfina Herfina (Pakuan University) |
| Year | 2022 |
| Volume | 7 |
| Publication date | 2022-06-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2022.903572 |
| OpenAlex | W4281777953 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
The COVID-19 epidemic has become a significant global obstacle as it has impacted people's lives in various sectors, including social, economic, and education. To respond to the shock caused to education systems, massive efforts—such as conducting formal education through online classes—have been made. This study has employed Structural Equation Modeling (SEM) to examine this arena during the COVID-19 pandemic and has elaborated on how effectively the education system responded, especially through online lecturing. The Technology Acceptance Model (TAM) was implemented as this study's theoretical framework. Partial Least Squares Structural Equation Modeling was employed to measure and assess the proposed model. This study was conducted through a survey with 112 student participants in a postgraduate program between January and December 2021. The findings showed that (1) the TAM-based proposed variables have been successfully explained during the pandemic through factors predicting the use by an online class of postgraduate students, (2) significant effects were reported from perceived ease of use and perceived usefulness toward actual system use through behavioral intentions to use, (3) there were no significant results to show an indirect effect from perceived ease of use and perceived usefulness toward actual system use through behavioral intentions to use
Human–computer interaction · Machine learning · Obstacle · Pandemic · Political science · Structural equation modeling · Technology Acceptance Model · Usability · Applied Psychology · Computer Science · Digital Marketing and Social Media · Medicine · Organizational and Employee Performance · Psychology · Social Psychology · Technology Adoption and User Behaviour
E‐Learning and the Science of Instruction
Investigating users’ perspectives on e-learning
The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift.
Determinants of Perceived Ease of Use
Technology‐mediated learning theory
Influence of Covid-19 confinement on students’ performance in higher education
Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
A Theoretical Extension of the Technology Acceptance Model
Technology Acceptance Model 3 and a Research Agenda on Interventions
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Against All Odds
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |