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Zhovnir, Maryna; Shevchenko, Olena; Leshchenko, Tetyana – Advanced Education, 2023
This article explores the implementation of mobile applications in the training of future doctors studying the Ukrainian language. The authors conducted a descriptive survey to explore the types of language learning apps commonly used by foreign students studying Ukrainian at the Poltava State Medical University. Furthermore, the effectiveness of…
Descriptors: Educational Technology, Handheld Devices, Technology Uses in Education, Ukrainian
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Safiye Ipek Kuru Gönen; Gülin Zeybek – Computer Assisted Language Learning, 2024
This article describes the design and implementation of a training model on Multimodal Mobile-Assisted Language Learning (M-MALL) for EFL pre-service (PSTs) teachers. Albeit EFL teachers' positive attitude towards technology integration into language teaching, they may still lack guidance and support on how to implement mobile technologies in…
Descriptors: Handheld Devices, Telecommunications, Language Teachers, Preservice Teachers
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Hyun-Sook Kang; Dong-Shin Shin – Frontiers: The Interdisciplinary Journal of Study Abroad, 2024
This study examined how Korean teacher candidates' understanding of English and their use of the L2 (second language) and other semiotic resources for meaning making could be mediated through a mobile application, Band during study abroad. Drawing on the sociocultural perspective of L2 learning, the teacher candidates' weekly reflections, which…
Descriptors: English (Second Language), Second Language Learning, Study Abroad, Telecommunications
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Cheng Zeng; Linda Fisher – ECNU Review of Education, 2024
Purpose: Mobile-assisted language learning (MALL) apps such as Duolingo have great potential for promoting learners' motivation to learn a second language (L2). However, little research has investigated how this motivational impact takes place. Additionally, despite the flexibility of mobile learning, most existing studies are conducted in…
Descriptors: Second Language Learning, Handheld Devices, English (Second Language), Foreign Countries
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Glenn Stockwell; Yijen Wang – Educational Technology & Society, 2024
With mobile phones now in the hands of virtually all of our learners, it is becoming increasingly more difficult to imagine environments that do not include learning through mobile devices in even some small capacity. The interest in mobile learning is reflected in the enormous number of publications which have appeared over the past 10 to 15…
Descriptors: Handheld Devices, Telecommunications, Second Language Learning, Educational Technology
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Xiaosheng Zhou; Ying Soon Goh – International Journal of Mobile and Blended Learning, 2025
This study introduces a mobile-assisted Seamless Chinese Vocabulary Learning (SCVL) framework and examines its efficacy through the implementation of a "sentence-paragraph-essay" artifact-making writing process designed to enhance vocabulary growth among tertiary-level students. Employing a design-based research methodology, the study…
Descriptors: Chinese, Second Language Instruction, Second Language Learning, Telecommunications
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Mohammad Khair Atallah Alhourani; Manjet Kaur A. P. Mehar Singh; Ali Abbas Falah Alzubi – Open Education Studies, 2025
Saudi undergraduates often struggle with English as a Foreign Language (EFL) speaking skills, primarily due to a high level of Fear of Negative Evaluation (FNE). This study examines the impact of Language Speaking Learning Strategies (LSLS) mediated by the Telegram smartphone application on reducing FNE among preparatory-year students at Najran…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
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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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Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Kumar, Bimal Aklesh; Goundar, Munil Shiva – Education and Information Technologies, 2023
Mobile language learning (MLL) is an emerging field of research, and many MLL applications have been developed over the years. In this paper, a systematic literature review (SLR) was conducted to establish a body of knowledge on the development of MLL applications. The SLR analyzed forty seven papers from seven different digital libraries…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
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Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
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Saman Ebadi; Asieh Amini – Interactive Learning Environments, 2024
Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence…
Descriptors: Artificial Intelligence, Educational Technology, English (Second Language), Second Language Learning
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Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
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Sanghee Kang; YouJin Kim – Language Teaching Research, 2024
Although increasing evidence has demonstrated the benefits of mobile technology in diverse aspects of language learning, research on the use of mobiles in task-based instruction has been scarce. Particularly, there has been little research directly investigating predictors of the quality of mobile-assisted, video-making tasks. To fill the gap and…
Descriptors: Foreign Countries, Grade 10, English (Second Language), Second Language Learning
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Zhi Quan; Lynn Grant; Darryl Hocking – Computer Assisted Language Learning, 2024
As a corpus-assisted method for language pedagogy, DDL (data-driven learning) may have the potential to enhance language exposure and promote active learner engagement. Concordancing, or KWIC (Key Words in Context), has been the traditional method used in DDL to retrieve numerous language examples, while the method has limitations with…
Descriptors: Language Patterns, Language Usage, Second Language Learning, English (Second Language)
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