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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, Lan; Gao, Fei; Guo, Shuqing – Journal of Computer Assisted Learning, 2020
This study aims to gain a better understanding of how the newly arisen social messaging may impact the practice of peer assessment. Seventy-nine ESL (English as second language) students reviewed each other's English essays in three peer assessment groups: a three-member group using wiki (wiki group), a three-member group using social messaging…
Descriptors: Peer Evaluation, English (Second Language), Second Language Instruction, Essays
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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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Wang, Hong-You; Lin, Vivien; Hwang, Gwo-Jen; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2019
To assess the effects and learner perceptions of context-aware ubiquitous language learning (CAULL), a green-building English-learning application (GBELA) employing sensing technology was created to develop participants' English listening and reading skills using smartphones and QR codes. This study investigated the effects of 40 participants'…
Descriptors: Reading Skills, Listening Skills, English (Second Language), Second Language Learning
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Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
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Hong, J.-C.; Hwang, M.-Y.; Chang, H.-W.; Tai, K.-H.; Kuo, Y.-C.; Tsai, Y.-H. – Journal of Computer Assisted Learning, 2015
To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
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Fallahkhair, Sanaz; Pemberton, L.; Griffiths, R. – Journal of Computer Assisted Learning, 2007
This paper describes the development processes for a cross-platform ubiquitous language learning service via interactive television (iTV) and mobile phone. Adapting a learner-centred design methodology, a number of requirements were gathered from multiple sources that were subsequently used in TAMALLE (television and mobile phone assisted language…
Descriptors: Television, Computer Assisted Instruction, Second Language Learning, Telecommunications
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Thornton, Patricia; Houser, Chris – Journal of Computer Assisted Learning, 2005
We present three studies in mobile learning. First, we polled 333 Japanese university students regarding their use of mobile devices. One hundred percent reported owning a mobile phone. Ninety-nine percent send e-mail on their mobile phones, exchanging some 200 e-mail messages each week. Sixty-six percent e-mail peers about classes; 44% e-mail for…
Descriptors: Vocabulary, Teaching Methods, Intervals, Telecommunications