Modelling Students’ Adoption of E-Learning During the COVID-19 Pandemic: Hungarian Perspective

• Main Authors: Bálint, C. (Author), Jamalova, M. (Author)
• Format: Article
• Language: English
• Published: International Association of Online Engineering 2022
• Subjects: Covid-19; E - learning; Education computing; E-learning; Hungarians; Least squares approximations; Moderating effect; Moderating effect of age; Moderating effect of gender; Perceived ease-of-use; Perceived usefulness; Students; Tam
• Online Access: View Fulltext in Publisher

 This research examines the impact of gender and age differences on the attitude towards online education in universities and colleges during the COVID-19 pandemic in Hungary. The answers were evaluated using Partial Least Squares estimation technique by involving age and gender as moderator variables. The research model is based on a modified version of the Technology Acceptance Model (TAM) proposed by Davis, Warshaw, and Bagozzi (1989) and expanded by a good teaching scale. Apart from perceived ease of use, other variables illustrated significant direct relationships. Moderating effect of age and gender of the surveyed Hungarian students influence formulation of attitude towards e-learning. The results illustrate that the gender and age of the respondents influence the perceived usefulness → behavioral intention pathway. Also, the age of respondents has an impact on the relationship between perceived ease of use and perceived usefulness. © 2022, International Journal of Emerging Technologies in Learning. All Rights Reserved.