Abstract
Because of Covid-19, many countries shutdown schools in order to prevent spreading the virus in their communities. Therefore, schools have opted to use online learning technologies that support distance learning for students. As consequences, Ministry of Higher Education and Scientific Research encourages higher education institutes to adopt blended learning in their programs. However, different students react in different ways to online learning. Some students were able to make productive use of online learning strategies more than others. A conceptual model based on 15 variables was constructed based on UTAUT2, TAM, and other models to investigate and to study the factors that affect students’ acceptance of online learning. 29 hypotheses were investigated to study the relationships among the variables that affect online learning acceptance and online learning community building in Al-Ahliyya Amman University. The collected responses were analyzed using a structural equation modeling (SEM) approach. SPSS and AMOS were used to analyze the data.
Highlights
Since Covid-19 (Coronavirus) started spreading, many countries decided to shutdown schools and move to online learning solutions [1, 2]
Different distance learning paradigms were implemented to support distance learning such as livestreaming lectures [3], the use of Massive Open Online Courses (MOOC) [4], and the use of worksheets and animations [5]
The members of Generation Z, who are familiar with various technologies accessing the internet, are the majority of students, it is very important to study the factors that affect their intention to use their technical knowledge in digital learning [8]
Summary
Since Covid-19 (Coronavirus) started spreading, many countries decided to shutdown schools and move to online learning solutions [1, 2]. Based on the online learning feedback during Covid-19, Ministry of Higher Education and Scientific Research developed a plan to adopt online and blended learning in the higher education institutes. The members of Generation Z, who are familiar with various technologies accessing the internet, are the majority of students, it is very important to study the factors that affect their intention to use their technical knowledge in digital learning [8]. It is very important to know the factors that are affecting users’ adoption of technologies in order to achieve the objectives of the proposed technology. Many models, such as the Unified Theory of Acceptance and Use of Technology (UTAUT) [9, 10], were proposed to explain users’ behavior in utilizing technologies. Based on the defined variables, the research model was constructed, and 29 hypotheses were investigated and analyzed using a structural equation modeling (SEM) approach in SPSS and AMOS
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