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Hatmanto, Endro Dwi; Pratolo, Bambang Widi; Intansari, Mariska – English Language Teaching Educational Journal, 2023
The emergence of Metaverse, a three-dimensional virtual space that enables users to interact in computer-generated environments, has opened up new possibilities for language learning and instruction. This study explored the pedagogical potential and transformative effects of incorporating Metaverse environments in English language teaching, with a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
Susilo, Annisha R. H. – ProQuest LLC, 2023
Research over the last two decades has shown middle school EBs are at risk for academic failure due to compounded systematic challenges that prevented them from acquiring reading proficiency level required to succeed in academic setting (Bowman-Perrott et al., 2010; Deussen et al., 2017; Sheng et al., 2011; Slama, 2012). EBs face shortages of…
Descriptors: Bilingualism, Vocabulary Development, Second Language Learning, Second Language Instruction
Dao, Phung; Duong, Phuong-Thao; Nguyen, Mai Xuan Nhat Chi – Computer Assisted Language Learning, 2023
This study investigated the effects of synchronous computer-mediated communication (SCMC) mode and interlocutor familiarity on frequency and characteristics of peer feedback in L2 interaction. Fifty dyads of EFL learners were equally assigned into familiar (+/--) groups and performed an interactive task in two SCMC modes (text/video-chats). After…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Suttiya Khongyai; Jutarat Vibulphol – International Education Studies, 2025
This research studied self-directed learning in online English reading of seven secondary school students who attended a ten-week Computer-Assisted Language Learning (CALL) learner training. The CALL learner training was sequenced using Knowles's (1975) six steps of self-directed learning, which were setting climate, analyzing needs, setting…
Descriptors: Independent Study, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Mónica S. Cárdenas-Claros; Natalia Roldán-Mora; Paula Rodríguez-Arias; Jimmy Vera-Saavedra – Language Awareness, 2025
Playback controls or audio/video control (AVC) buttons are common in technology-enhanced listening materials but are often overlooked in CALL theorizing and research. It is unclear how language learners use AVC buttons when they independently access computer-based L2 listening materials. This qualitative case study aimed to understand how…
Descriptors: Second Language Instruction, Second Language Learning, Computer Assisted Instruction, Listening Comprehension
Bahman Gorgian; Farzaneh Mir; Batool Nasiri – Iranian Journal of Language Teaching Research, 2025
The evaluation of in-service teacher educators ' feedback on using Computer-Assisted Language Learning (CALL) processes is important for providing educational policymakers with the strengths and weaknesses of the Vadana platform. It proposes an integrated CALL evaluation scale (ICES) eliciting the in-service teacher educators' literacy of using…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teacher Educators
Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Rustam Shadiev; Jiatian Yu – Computer Assisted Language Learning, 2024
We reviewed articles on computer-assisted language learning, focusing on intercultural education studies published in the last five years. We investigated the following aspects: (1) the theoretical foundation that the studies were based on, e.g., theory, hypothesis, model, or framework, (2) the technologies used by the participants, (3) the…
Descriptors: Multicultural Education, Computer Assisted Instruction, Teaching Methods, Second Language Learning
Satar, Müge – Research-publishing.net, 2021
This piece explores technologies for freer communication "with" machines, i.e. bots (chatbots or conversational agents), rather than the concept of speaking "to" machines, such as Intelligent Assistants (IA) like "Alexa." Bots are computer programmes which simulate natural intelligent communication using text or…
Descriptors: Teaching Methods, Learning Processes, Second Language Learning, Second Language Instruction
Nazari, Mostafa; Xodabande, Ismail – Computer Assisted Language Learning, 2022
Mobile phones are turning into a growingly widespread educational tool across various contexts. However, the scope of research on teachers' role in mobile-oriented instruction is limited, much less examining how professional development influences their associated beliefs and practices. Grounded in sociocultural theory, this study aimed to fill…
Descriptors: Faculty Development, Teacher Attitudes, Telecommunications, Handheld Devices
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
Daniel, Stephanie Larry – Online Submission, 2022
The widespread use of technology has accelerated many changes in the education sector including higher education. The Internet has made online learning feasible, and many researchers and educators are interested and took part in online learning to enhance and improve student language learning involvement while combating the reduction in resources.…
Descriptors: Foreign Countries, College Students, Private Colleges, Online Courses
Kojiri, Tomoko; Yamada, Takushi – Research and Practice in Technology Enhanced Learning, 2020
When we translate Japanese sentence into English, sometimes several English words become the candidates. However, the usage situation of these candidate words is not the same. In order to choose appropriate words from them, we need to understand the usage situation for each candidate words. Usage situation of the words can be inferred by…
Descriptors: Generalization, English (Second Language), Japanese, Translation

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