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Showing 1 to 15 of 33 results Save | Export
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Chorng-Shiuh Koong; Chih-Hung Chen; Yu-Tzu Chen; Gwo-Haur Hwang – Journal of Computer Assisted Learning, 2025
Background: Rhythm is the fundamental element of music and one of the indispensable aspects of training in music education, making it highly valued. However, due to the limitations of teaching hours and the large number of students in each class, it is difficult to foster the rhythm ability of elementary school students. Objectives: Hence, this…
Descriptors: Music Education, Telecommunications, Handheld Devices, Teaching Methods
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Alamer, Abdullah; Al Khateeb, Ahmed; Jeno, Lucas M. – Journal of Computer Assisted Learning, 2023
Background: Mobile-assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a…
Descriptors: Foreign Countries, College Students, Synchronous Communication, Handheld Devices
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Lin, Xiao-Fan; Liang, Zhong-Mei; Chan, Kan Kan; Li, Wenyi; Ling, Xiaolan – Journal of Computer Assisted Learning, 2022
Background: The contextual and interactive learning research was motivated by the need to enhance the healthcare training effect of caregivers of patients with suspected COVID-19 infection during quarantine. However, there is a lack of effective approaches to integrating mobile contextual learning into interactive learning. Objectives: Therefore,…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
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Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
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Gökçearslan, Sahin; Yildiz Durak, Hatice; Esiyok, Elif – Journal of Computer Assisted Learning, 2023
Background: The COVID-19 pandemic has spread quickly, e-learning became compulsory and disseminated throughout the world. During the pandemic, smartphones are frequently used to access e-learning content, but connecting to technological tools increased the risk of cyberloafing during e-courses. Currently, there are a limited number of studies on…
Descriptors: Students, Emotional Response, Psychological Patterns, Self Management
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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Han, Sunyoung; Yi, Yong Jeong – Journal of Computer Assisted Learning, 2019
The present study aims to investigate the effects of smartphone use by college students on their perceived academic performance. Using five hypotheses derived from the literature related to smartphone use, the initial model was set up for path analysis to reveal the relationships among variables regarding college students' smartphone use in the…
Descriptors: College Students, Handheld Devices, Telecommunications, Academic Achievement
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Hong, Jon-Chao; Tai, Kai-Hsin; Luo, Wan-Lun; Sher, Yung-Ji; Kao, Yi-Wen – Journal of Computer Assisted Learning, 2022
Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then…
Descriptors: Comparative Analysis, Computer Games, Computer Software, Telecommunications
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Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
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Mize, Min; Park, Yujeong – Journal of Computer Assisted Learning, 2021
The purpose of this study was to investigate the effect of iPad-assisted reading instruction for fourth-grade students' oral reading fluency and their attitudes towards reading. Three fourth-grade students at-risk for reading disabilities participated in an iPad-assisted repeated reading programme that integrated repeated reading, vocabulary…
Descriptors: Grade 4, Elementary School Students, Reading Difficulties, Reading Instruction
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Burke, Paul F.; Kearney, Matthew; Schuck, Sandy; Aubusson, Peter – Journal of Computer Assisted Learning, 2022
Background: Mobile learning studies often focus on teachers' perspectives. This study instead considers students' experiences of learning with mobile devices (i.e., m-learning) in secondary school mathematics and science. Objectives: The research aims to describe the m-learning experiences of secondary mathematics and science students, and to…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
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Samur, Yavuz – Journal of Computer Assisted Learning, 2019
Learning letters is an important area of language learning, conducive to the beginning of reading and writing. Indeed, today's generation prefers to learn through digital games rather than through formal teaching processes. Inspired by this need, the researcher designed this study (a) to test the effectiveness of an instructional digital game,…
Descriptors: Teaching Methods, Kindergarten, Telecommunications, Handheld Devices
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Lin, Xiao-Fan; Deng, Cailing; Hu, Qintai; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2019
Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial…
Descriptors: Undergraduate Students, Student Attitudes, Telecommunications, Handheld Devices
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Chan, Venus – Journal of Computer Assisted Learning, 2023
Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID-19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Translation
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