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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
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
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
Chin-Hsi Lin; Keyi Zhou; Shiyun Yang; Zhong Sun – Interactive Learning Environments, 2023
Mobile technology is one of the most important approaches to facilitating vocabulary learning. However, despite an increasing use of mobile devices for this purpose, there is currently no dedicated evaluation framework to examine whether the vocabulary-learning applications on the market are well designed. Building on prior research from the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Jie Fang – Knowledge Management & E-Learning, 2025
Although mobile technologies are commonly used to support language learning, there is a lack of research to comprehensively determine the acceptance, readiness, affordances, and challenges in this area. To address this gap, this systematic literature review selected 49 articles indexed in the Scopus database between 2013 and 2022. This study found…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Second Language Learning
Neda M. Maenza; Tijana Gajic – Research in Pedagogy, 2024
Innovative concepts coupled with cutting-edge digital advancements have ushered in a transformative era for English language learners worldwide. This research delves into the efficacy of the WordUp mobile application in facilitating the acquisition of new English vocabulary. The application has notably organized English words based on their…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Sukavatee, Pornpimol; Khlaisang, Jintavee – rEFLections, 2023
One of the greatest advantages of mobile language learning is its ease of access, especially to learners in the 21st century who have the option of selecting any learning content that matches their preferences or language development goals, anywhere and at any time. Mobile-assisted language learning or MALL takes learning beyond the classroom,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Handheld Devices
Hee Jin Bang; Eric Setoguchi; Alison Mackey; Akiko Fujii – Studies in Second Language Acquisition, 2024
Digital educational game-based apps can be effective in helping young children develop language skills, particularly when paired with formal instruction. However, we need to know more about how educational games benefit learning in the absence of formal instruction, given children's proficiency with and willingness to use mobile devices anytime,…
Descriptors: Foreign Countries, Second Language Learning, Second Language Instruction, Computer Software
Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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
David Imamyartha; Utami Widiati; M. Zaini Miftah – MEXTESOL Journal, 2024
Despite the recent growth of mobile instant messenger (MIM), research into the correlation between English learners' learning gains, learning engagement, and how this engagement helps develop authentic relationships remains underexplored. This mixed-method study involved 222 college English learners to investigate their engagement in team-based…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
Urlaub, Per; Dessein, Eva – L2 Journal, 2022
This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers' perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of…
Descriptors: Translation, Computational Linguistics, Teaching Methods, Computer Software
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Puebla, Cecilia; Fievet, Tiphaine; Tsopanidi, Marilena; Clahsen, Harald – ReCALL, 2021
In an increasingly ageing, multilingual, and digitalised society, there is still a lack of research on older adults' adoption and use of mobile technology for supporting their self-directed second language learning. In the present study, we investigated the extent to which seniors residing in Germany (aged 60+) engage in mobile-assisted language…
Descriptors: Older Adults, Telecommunications, Handheld Devices, Second Language Learning

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