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Showing 1 to 15 of 24 results Save | Export
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Saja Wardat; Mohammed Akour – Smart Learning Environments, 2024
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…
Descriptors: Technology Uses in Education, English (Second Language), Second Language Instruction, Educational Technology
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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
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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
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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
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