The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…

This study proposed a model to explain the students' and teachers' intention to use (ITU) technology. A sample of 1,095 participants (503 students and 592 teachers) responded to a 15-item, 7-point scale designed to measure six variables: perceived usefulness (PU), perceived ease of use, attitude toward use (ATU), facilitating conditions, computer…

The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann-Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a)…

In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…

This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…

Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…

The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…

Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…

This study investigated relationships among students' technology-related abilities, beliefs, and intentions. Participants were 217 preservice teachers who responded to post-course surveys. Value beliefs were the best predictor of their intentions to use a variety of software and their intentions regarding frequency of technology use with students…