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Showing 1 to 15 of 33 results Save | Export
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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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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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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
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Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
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Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
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Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
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Xiaotian Zhang; Mingming Zhou – Education and Information Technologies, 2024
Despite the rising awareness that mobile technologies can be used as viable options for additional support for intercultural learning, few studies have been conducted to explore the feasibility of using mobile apps to develop intercultural competence (IC) from the perspectives of learners' acceptance and user experiences. This study applied a…
Descriptors: Foreign Countries, Intercultural Communication, Cultural Pluralism, Interpersonal Competence
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Md Kassim Normalini; Zhu Fei; Wan Normila Mohamad; Mohamad Saifudin; Mohamad Saleh – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The present study explores the key determinants that influence the intention of public higher education institutions in Malaysia to utilize mobile learning. Furthermore, this study investigates the correlation between these attributes and the components that affect the sustainability viability of mobile learning. Background: The…
Descriptors: Educational Environment, Sustainability, Pandemics, COVID-19
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Alvi, Irum – Smart Learning Environments, 2021
The term Social Networking Tools is used for social media applications accessible via mobile devices/smartphones; their use has become ubiquitous among college students, especially after the COVID 19 Pandemic, due to which the institutes of Higher education were shut down. A research gap was identified as the students' acceptance of these learning…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
Amal Ibrahim Alomran – ProQuest LLC, 2020
The purpose of the current study was to confirm or dismiss Saudi students' behavioral intention with regard to using smartphone applications for learning purposes. A quantitative, non-experimental survey research design and descriptive research conducted on the determinants -performance expectancy, effort expectancy, and social influence- that…
Descriptors: Foreign Countries, Student Behavior, Intention, Telecommunications
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Shaya, Nessrin M.; Madani, Rehaf A.; Mohebi, Laila M. B. – Journal of Interactive Learning Research, 2023
This study developed and empirically tested a theoretical model to predict the factors affecting students' acceptance and behavioral intentions toward using mobile learning (m-learning) in United Arab Emirates (UAE). The present study explored the behavioral intention to use m-learning from the angle of consumers by applying the extended Unified…
Descriptors: Higher Education, Intention, Student Behavior, Information Technology
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Mc Donald Van Der Merwe; Tariro Bonyongwa – Journal of Education and e-Learning Research, 2024
This paper focuses on a study conducted in two historically disadvantaged schools (deep-rural and semi-urban) in South Africa where the rising access to mobile technology implies that the long-standing promise of mobile learning is becoming accessible despite the lack of recent research. This research aims to investigate the relationship between…
Descriptors: Foreign Countries, Handheld Devices, Computer Use, Student Behavior
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Mazrur; Jennah, Rodhatul; Mujib, Abdul; Jamalie, Zulfa – Journal of Education and e-Learning Research, 2023
The acceptance of different technologies in different classroom settings has been addressed in the current study. Integrating alignment theory with the Technology Acceptance Model (TAM), this study investigates the predictive differences between the use and adoption of four technologies. The technologies were used in Islamic study classrooms for…
Descriptors: Islam, Audience Response Systems, Student Attitudes, Technology Uses in Education
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Islamoglu, Hakan; Kabakci Yurdakul, Isil; Ursavas, Omer Faruk – Educational Technology Research and Development, 2021
The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we…
Descriptors: Preservice Teachers, Preservice Teacher Education, Educational Technology, Technology Uses in Education
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Arthur-Nyarko, Emmanuel; Gyan, Stephen Brobbey; Asante, Alexander – International Journal of Learning Technology, 2021
This study investigated the determinants of students' behavioural intention (BI) to use mobile learning management systems (M-LMS) in a blended distance learning environment. The study was undertaken at the College of Distance Education (CoDE) of the University of Cape Coast (UCC) in Ghana. Using a predictive correlational design, a 28-item…
Descriptors: Foreign Countries, Student Behavior, Intention, Integrated Learning Systems
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