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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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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
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Shijiao Jia; Zhaoxia Lu – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study examines the effects of the mobile-assisted task-based language teaching (M-TBLT) approach on EFL learners' oral production. It evaluates three key second language acquisition measures: complexity (syntactic and lexical), accuracy (error-free clauses and correct verb forms), and fluency (unpruned and pruned speech rates).…
Descriptors: Oral Language, Task Analysis, Second Language Learning, Second Language Instruction
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Siti Rowiyah; Nabila Humaira; Latifah Nurfitriana – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
The use of social media in human life recently is such normal direct interaction including in English language teaching. Politeness strategies are essential in social communication to keep convenient connections. This study aims to examine how politeness strategies are used in increasingly complex situations, combining social media and the…
Descriptors: English (Second Language), Prosocial Behavior, Social Media, Handheld Devices
Kevin R. Hirschi – ProQuest LLC, 2024
Millions engage in learning a Second Language (L2) using their mobile devices with a wide range of success. Concomitantly, there exists a growing interest in research on the effects of mobile-assisted language learning and predictors of learner outcomes (e.g., Loewen et al., 2020; Sudina & Plonsky, 2023). However, few of these apps and studies…
Descriptors: Native Language, Spanish, Second Language Learning, English (Second Language)
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Tan Shaojie; Arshad Abd Samad; Lilliati Ismail – SAGE Open, 2024
The ability to understand listening is an essential skill for non-native speakers of English as a foreign language (EFL). Research has shown that several factors can influence EFL students' English listening comprehension, including the listening strategy they use during listening activities. This study, therefore, used the meta-cognitive…
Descriptors: Metacognition, Listening Comprehension, Learning Strategies, Second Language Instruction
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Marwa F. Hafour – Computer Assisted Language Learning, 2024
Owing to the plethora of user-friendly audio/video creation and editing applications as well as free full-featured hosting platforms, videoing and sharing has become a lifestyle of today's students. Utilizing these spontaneous practices, the current study examined the effects of digital media assignments (DMAs) and accompanying asynchronous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Video Technology
Grace Hui Chin Lin – Online Submission, 2024
This research was conducted in a National University of western part in Taiwan. It guided students to select language learning games of language learning (Amur et al. (2024; Huang & Liaw, 2021; Srinivasan & Reddy 2023) on Facebook or other websites to improve English Language proficiencies in listening, speaking reading and writing. Below…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
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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
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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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Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
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Mehmet Aslan; Birsen Tütünis – Journal of Theoretical Educational Science, 2024
The study's objective is to examine the effects of Blended Mobile Learning (BML) on the vocabulary development of EFL preparatory students and their views of BML. As a mixed method study, it was conducted with 40 preparatory students at a state university in Turkey. While the control group studied vocabulary by reading texts only in the classroom…
Descriptors: Blended Learning, Telecommunications, Handheld Devices, Comparative Analysis
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Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
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Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
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