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…

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…

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…

Mobile learning (M-learning) has become a crucial tool for both students and educators. The unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM), and outside factors were all included in this study's integrative review approach to examine the variables affecting university students' intention to use…

This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…

This study set out to determine what variables led students to choose mobile learning during COVID-19 and to study the direct impact of the perceived fear of COVID-19 (PCF) on undergraduate learners' intentions to adopt m-learning in developing countries such as Sudan. It utilizes the Technology Acceptance Model (TAM) as a foundation and uses PCF…

Purpose: Professional Identity Formation is the dynamic evolution to "think, act and feel" to become part of a professional community. This document presents the development and the study that aimed to assess the usability of a m-Learning Identity App (MLIA) focused on the formation of professional identity among undergraduate medical…

While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including…

The speedy advancement of evolving technologies has made the integration of portable technology into preservice science, technology, and mathematics (STM) teachers' teaching practices a must to enhance learning goals and improve their professional development. However, preservice STM teachers are unenthusiastic in incorporating portable technology…

This research explores the key motivating factors that influence student engagement with wearable technology (WT) in teaching English to speakers of other languages (TESOL) education. The study employs a novel, integrated framework that merges elements from the established technology acceptance model (TAM), Flow Theory, and additional factors…

During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…

Mobile learning is a rapidly growing field in education that has gained increasing worldwide attention in recent years due to the widespread availability of mobile devices and their potential to enhance learning experiences. In Saudi Arabia, higher education institutions have explored the use of mobile learning to support teaching and learning,…

Although learning with mobile educational applications (apps) has become popular in higher education, the factors accounting for students' voluntary continuous usage have not yet been investigated fully. This study aims to understand art students' continuance intention by combining the "expectation-confirmation model" ("ECM")…