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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
Julio Antonio Álvarez Martínez; Juan Fernando Gómez; Juan Carlos Restrepo Botero – Knowledge Management & E-Learning, 2025
The aim of this review is to provide a synthesis of empirical evidence regarding the utilization and influence of Mobile-Assisted Language Learning (MALL) in teaching and learning of English as a Foreign Language (EFL) within higher education establishments. The results show the considerable potential of MALL in enhancing various facets of…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Telecommunications
Li Liu; Shaidatul Akma Adi Kasuma; Salasiah Che Lah – International Journal of Virtual and Personal Learning Environments, 2023
The COVID-19 pandemic has accelerated the adoption of online education, including mobile-assisted language learning (MALL). Extensive research has examined various aspects of MALL; there remains a gap in understanding the preferred mobile resources that promote lifelong learning ability, particularly in relation to gender differences. This study…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Undergraduate Students
Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
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
Adnan Shehadeh – Anatolian Journal of Education, 2024
This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects;…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), 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
Marina Ivanova – The EUROCALL Review, 2024
Word stress is frequently afforded secondary importance in English teaching as stress placement rules are complex and because stress can be learnt along with each new word. However, training learners to pay more attention to word stress cues can support them in predicting the stress patterns of new vocabulary. Also, for speakers of fixed stress…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Pronunciation Instruction
Fatma Kimsesiz – Journal of Educational Technology and Online Learning, 2023
Research on self-directed learning practices has ascertained various potential benefits of learner achievement. As mobile technology offers highly practical and portable usage for self-directed learning, studies on language learning practices through technology-based applications have become prevalent among adult learners. This study aimed to…
Descriptors: Independent Study, Higher Education, Foreign Countries, English (Second Language)
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
Roslizawati Saad; Harun Baharudin; Nik Mohd Rahimi Nik Yusoff – Educational Process: International Journal, 2025
Background/purpose: A significant challenge in teaching Arabic at the secondary level is developing pronunciation, fluency, and communication. Despite increased use of digital tools in instruction, a gap remains in understanding their effectiveness in improving Arabic speaking skills. This article aims to identify the types of digital teaching…
Descriptors: Educational Technology, Technology Uses in Education, Arabic, Secondary Education
Burston, Jack; Giannakou, Konstantinos – ReCALL, 2022
The aim of this study is to comprehensively evaluate quantitative experimental mobile-assisted language learning (MALL) studies published between 1994 and 2019 that meet minimal conditions of research design and statistical analysis. Starting with a bibliographical database of 1,144 references to experimental MALL implementations, of which there…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Telecommunications
Annalisa Raffone – Language Teaching Research, 2025
In today's society, marked by the spread of Covid-19 that forced the shift from a traditional face-to-face to a fully online setting, digital tools are becoming more and more essential to engage 21st Century students in their classroom activities. In the context of ELT (English Language Teaching), Digital Game-Based Language Learning (DGBLL) has…
Descriptors: Game Based Learning, English (Second Language), Second Language Learning, Second Language Instruction
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

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