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Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
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…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability
Yuliya Frolova – Canadian Journal of Learning and Technology, 2025
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…
Descriptors: Foreign Countries, Emotional Intelligence, Privacy, Intention
Paraskevi Theodorou; Kleomenis Tsiligkos; Apostolos Meliones – Journal of Visual Impairment & Blindness, 2024
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…
Descriptors: Assistive Technology, Telecommunications, Handheld Devices, Visual Impairments
Cloneria Nyambali Jatileni; Sari Havu-Nuutinen; Susanna Pöntinen – South African Journal of Education, 2024
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)…
Descriptors: Foreign Countries, Educational Technology, Ownership, Mathematics Instruction
Lisana, Lisana – Education and Information Technologies, 2023
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…
Descriptors: Handheld Devices, Telecommunications, Technology Integration, Intention
Kashive, Neerja; Phanshikar, Dharini – Smart Learning Environments, 2023
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…
Descriptors: Intention, Electronic Learning, Handheld Devices, Value Judgment
Heinrich, Matthew; Gerhart, Natalie – Journal of Information Systems Education, 2023
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…
Descriptors: Privacy, Handheld Devices, College Students, Student Attitudes
Habibi, Akhmad; Riady, Yasir; Alqahtani, Turki Mesfer; Muhaimin, Muhaimin; Albelbisi, Nour Awni; Jaya, Aswadi; Yaqin, Lalu Nurul – E-Learning and Digital Media, 2023
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…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Intention
Yuyu Chen; Yuntao Zou – European Journal of Education, 2024
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…
Descriptors: Teacher Attitudes, Educational Quality, Intention, Artificial Intelligence
Xiao Xu – Discover Education, 2025
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…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Mohammed Abdullatif Almulla – International Journal of Information and Communication Technology Education, 2024
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…
Descriptors: Handheld Devices, Computer Oriented Programs, Educational Technology, Undergraduate Students
B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
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…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices
Kettrey, Heather Hensman; Thompson, Martie P. – Journal of School Violence, 2023
The present study aimed to determine whether greater levels of mobile connectivity, such as that afforded by campus safety apps, are associated with lower levels of bystander intervention into campus sexual assault incidents. We employed an experimental vignette design with a sample of college students to determine whether greater levels of mobile…
Descriptors: Sexual Abuse, Rape, Telecommunications, Handheld Devices
Mohammed A. E. Suliman; Wenlan Zhang; Kamal Abubker Abrahim Sleiman – Innovations in Education and Teaching International, 2024
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…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Silvia Lizett Olivares-Olivares; Miriam Lizzeth Turrubiates Corolla; Juan Pablo Nigenda Alvarez; Natalia Mejía Gaviria; Mariana Lema-Velez; Miguel Angel Villarreal Rodríguez; Luis Carlos Franco Ayala; Elena María Trujillo Maza; Isabel Barriga Cosmelli; Klaus Puschel Illanes – Journal of Applied Research in Higher Education, 2024
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…
Descriptors: Professional Identity, Computer Oriented Programs, Telecommunications, Handheld Devices