AI Summary & Key Takeaways
AI InsightThe results show that there are five factors that can be used in modeling students' intentions to adopt e-learning.
📌 3 Key Takeaways
Abstract
E-learning is becoming increasingly prominent in higher education, with universities increasing provision and more students signing up. This paper examines factors that predict students' intention to adopt e-learning at the Egyptian University of Mansourra. Understanding the nature of these factors may assist Egyptian universities in promoting the use of information and communication technology in teaching and learning. The main focus of the paper is on the university students, whose decision supports effective implementation of e-learning. Data was collected through a survey of 258 first year business students at the University of Mansoura in Egypt. The technology adoption model put forward by Davis is utilized in this study. Two more independent variables are added to the original model, namely, the pressure to act and resources availability. The results show that there are five factors that can be used in modeling students' intentions to adopt e-learning. These factors are attitudes toward e-learning, perceived usefulness of e-learning, perceived ease of e-learning use, pressure to use e-learning, and the availability of resources needed to use e-learning.