With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…

Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…

Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning applications could be better. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops a novel model to examine the determinants of learners' acceptance of mobile…

While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…

This study explores the influence of emotional intelligence and privacy orientation on attitudes and intentions to learn with mobile technologies. Data were collected from 272 respondents in Kazakhstan, a country with a transitioning economy. The findings reveal that both emotional intelligence and privacy orientation positively affect attitudes…

This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…

Introduction: Despite the plethora of sensor-based assistive technology solutions, there is still no widespread acceptance and adoption by people who are blind or have low vision (i.e., visually impaired). Many reasons prevent reducing abandonment levels with a prominent one being a lack of focus on the dimension of training, which, from our…

The bring-your-own-device policy (BYOD) in schools has recently attracted considerable research interest. BYOD allows students to learn subjects like mathematics using personal mobile devices. Accordingly, BYOD can increase students' desire to learn mathematics in school. In the study we report on here, we assessed 9th grade students' (n = 500)…

Adopting technology by its intended users is one of the most important contributors to that technology's success. Therefore, the success of mobile learning (ML) depends on the students' acceptance of the method. Regarding this point, this quantitative research aims to identify factors that affect switching intention to adopt ML among university…

This study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177-208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control…

Mobile devices are a constantly used item in a college student's life. Students depend on them for entertainment, academics, and socializing with their friends. While they continually use them, they perhaps do not understand the impact of their use on their privacy or that the devices can be used to track them and collect their personal…

The current study uses the technology acceptance model to understand the drivers affecting Indonesian pre-service teachers' intention to use m-learning. Eleven hypotheses were proposed within seven variables; self-efficacy, subjective norms, facilitating conditions, perceived usefulness, perceived ease of use, attitudes, and intention to use…

Understanding the various factors influencing the utilization of mobile learning is pivotal to ensuring that visually impaired students can fully harness its benefits. However, there exists a notable gap in empirical research concerning the influence of psychological needs on the adoption of mobile learning among visually impaired students. This…

This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…

A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…