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Figueiredo, Sandra – Journal of Computer Assisted Learning, 2023
Background: As more people around the globe become immigrants or refugees, an increasingly popular subsection of research has aimed to investigate how these populations use mobile-assisted language learning (MALL) to learn the language(s) of the host country. Objectives: This study examines how the language learning, inclusion and self-regulation…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Immigrants
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Gi-Zen Liu; Jalil Fathi; Masoud Rahimi – Journal of Computer Assisted Learning, 2024
Background: The impact of digital gamified language learning on language achievement has been corroborated in the literature; however, its impact on language achievement, especially in the English as a foreign language (EFL) context needs further investigation. In addition, the related literature has not sufficiently confirmed the impact of…
Descriptors: Gamification, Academic Achievement, Second Language Learning, Student Attitudes
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Bacca-Acosta, Jorge; Fabregat, Ramon; Baldiris, Silvia; Kinshuk; Guevara, Juan – Journal of Computer Assisted Learning, 2022
Background: Mobile-based assessment has been an active area of research in the field of mobile learning. Prior research has demonstrated that mobile-based assessment systems positively affect student performance. However, it is still unclear why and how these systems positively affect student performance. Objectives: This study aims to identify…
Descriptors: Academic Achievement, Electronic Learning, Handheld Devices, Computer Assisted Testing
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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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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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Bacca-Acosta, Jorge; Avila-Garzon, Cecilia – Journal of Computer Assisted Learning, 2021
Research on mobile-based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile-based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile-based…
Descriptors: Learner Engagement, Handheld Devices, Computer Assisted Testing, Electronic Learning
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Xu, Qi; Peng, Hongying – Journal of Computer Assisted Learning, 2022
Background: Peer-to-peer feedback exchanges have been recognized as crucial to language learning. While studies on peer feedback proliferate, little is known about whether and how peer feedback is affected by learners' motivational levels. Objectives: Situated in a mobile collaborative learning context, the current study examined how English as a…
Descriptors: Student Motivation, Electronic Learning, Handheld Devices, Peer Evaluation
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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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Lin, Chih-Chung; Barrett, Neil E.; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2021
Context-aware ubiquitous learning (CAUL) technology provides language learners with interactive learning environments and has been found to increase learning effectiveness and self-efficacy due to student interaction, discussion and evaluation of the entire learning process. This study used a mobile-based ubiquitous learning system combined with a…
Descriptors: English (Second Language), Handheld Devices, Cooperative Learning, Second Language Learning
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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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Kurt, M.; Bensen, H. – Journal of Computer Assisted Learning, 2017
This paper moves away from reminiscent mechanical repetition and drills, which were in vogue when teaching vocabulary before the rise of technology. With the support of technology, innovative methodologies that are more effective and enjoyable can be implemented into vocabulary teaching. In this particular context, there seems to be a lack of…
Descriptors: Visualization, Technology Integration, Vocabulary Development, Video Technology
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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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Wong, L-H.; Looi, C-K. – Journal of Computer Assisted Learning, 2010
In recent years, we have witnessed the concomitant rise of communicative and contextualized approaches as well as the paradigmatic development of the mobile-assisted language learning (MALL) framework in analysing language learning. The focus of MALL research has gradually shifted from content-based (delivery of learning content through mobile…
Descriptors: Electronic Learning, Case Studies, Vocabulary Development, Learning Experience
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