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Showing 1 to 15 of 408 results Save | Export
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Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
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Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
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Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
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Li, Jia; Ji, Linying; Deng, Qizhen – Computer Assisted Language Learning, 2023
Despite the growing body of technology-assisted vocabulary intervention studies, few have addressed learning outcomes beyond target vocabulary and the interaction between the interventions and English language learners' (ELLs) initially different levels of vocabulary knowledge. The study examined the differential effects of a texting-based…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Vocabulary Development
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Dashtestani, Reza; Hojatpanah, Shamimeh – Computer Assisted Language Learning, 2022
Promoting students' digital literacy has become a significant challenge for educational authorities and course designers. However, very limited attention has been directed toward junior high school students' digital literacy in the literature of computer-assisted language learning (CALL). Thus, this mixed-methods study explored junior high school…
Descriptors: Foreign Countries, Junior High School Students, English (Second Language), Second Language Learning
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Wen Jia; Austin Pack; Yi Guan; Liping Zhang; Bin Zou – Computer Assisted Language Learning, 2025
Despite the growing interest in game-based learning (GBL) over the last two decades, the influence of Augmented Reality-based GBL on English vocabulary growth is still not well understood when compared with other forms of media, especially with regard to academic English vocabulary. This quasi-experimental study with 90 Chinese…
Descriptors: Game Based Learning, English for Academic Purposes, Second Language Learning, Second Language Instruction
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Asma Alsahil – Computer Assisted Language Learning, 2024
Despite the plethora of research on computer-supported collaborative writing, previous studies have failed to provide an adequate analysis of the quality and quantity of multi-authored texts due to the vast amount of unstructured data. This study aims to expand the current research by contributing new perspectives to the understanding of students'…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Advanced Courses
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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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
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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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Yu-Fen Yang; Wen-Min Hsieh; Wing-Kwong Wong; Yi-Chun Hong; Siao-Cing Lai – Computer Assisted Language Learning, 2024
Foreign Language Anxiety (FLA) is considered a central affective factor influencing English as a Foreign Language (EFL) learning. This study thus developed an online simulation game to create a virtually situated learning environment for reducing EFL primary school students' FLA levels and improving their English vocabulary learning. A total of…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
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Rassaei, Ehsan – Computer Assisted Language Learning, 2023
The main purpose of the present study is to propose a framework for implementing group dynamic assessment (DA) using students' smartphones for improving and assessing EFL learners' ability to produce well-formed and appropriate requests. This study focuses on five learner reciprocity moves during DA interactions to get deeper insights into the…
Descriptors: Computer Assisted Testing, Second Language Learning, Second Language Instruction, English (Second Language)
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Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Ali Soyoof; Barry Lee Reynolds; Rustam Shadiev; Boris Vazquez-Calvo – Computer Assisted Language Learning, 2024
While the study of serious games has received due attention, few studies have investigated their potentials of simultaneously offering a route to both content and language acquisition. Understanding the interdisciplinary educational affordance of serious game play is significant, as it might provide game designers and teachers with insight into…
Descriptors: Computer Assisted Instruction, Computer Games, Second Language Learning, Second Language Instruction
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