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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
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
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
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
Zhaokun Meng; Rui Li – Journal of Computing in Higher Education, 2024
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…
Descriptors: Informal Education, Teacher Attitudes, Communities of Practice, Computer Mediated Communication
Heba A. T. Aref; Salisa Westrick; Chiahung Chou; Debra Worthington; Kimberly Garza – Journal of American College Health, 2024
Objective: The purpose of this study was to compare the effect of text and video formats of an online theory-based Meningitis B (MenB) health message intervention on college students. Participants: College freshmen and transfer students admitted at a Southern U.S. University. Methods: In a 2-arm randomized study, knowledge, perceptions, and…
Descriptors: College Freshmen, College Transfer Students, Immunization Programs, Communicable Diseases
María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
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…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Xinyi Wang; Xiaofan Yu – SAGE Open, 2024
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")…
Descriptors: Art Education, Student Attitudes, Stress Variables, Value Judgment
Hüseyin Ates; Rabia Meryem Yilmaz – Interactive Learning Environments, 2024
This study was conducted to understand pre-service and in-service teachers' intentions to use mobile-based assessment in classes by integrating theory of planned behaviour, technology acceptance model, and self-determination theory into one conceptual framework. Data were analysed using the structural equation model (SEM). Results of SEM from a…
Descriptors: Teacher Behavior, Intention, Handheld Devices, Telecommunications
Omer Faruk Cantekin; Umit Ozen – International Journal of Education in Mathematics, Science and Technology, 2024
The aim of this study to investigate the link between cyberbullying, peer relationships, and social media usage in high school students in Turkey. The population of the study consists of students enrolled in high schools in Turkey in the 2023-2024 academic year. The sample consists of 230 students, 120 females and 110 males, who are studying in 2…
Descriptors: High School Students, Peer Relationship, Bullying, Computer Mediated Communication
John Matkovic; Nicole McKenzie; Jiunn-Jye Sheu; Jennifer Glassman; Aaron J. Kruse-Diehr; Tavis Glassman – Journal of American College Health, 2024
Background: Academic success and retention remain priorities on college campuses. Excessive cell phone use, test anxiety, and poor sleep habits are all associated with negative academic performance. Objective: To assess college students' perceptions of a health communication campaign designed to improve study habits and wellness behaviors during…
Descriptors: Study Habits, Health Behavior, Sleep, Student Attitudes
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