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Showing 1 to 15 of 183 results Save | Export
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Hussein Meihami – Computer Assisted Language Learning, 2025
This study draws on an ecological perspective on teacher agency to examine the role of the situated learning CALL environment in developing EFL student-teachers' agency. The data were collected from eight student-teachers' autobiographical narratives and the recoded class discussions. The deductive thematic analysis of the data showed that…
Descriptors: Student Teachers, English (Second Language), Language Teachers, Student Attitudes
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Meixiu Zhang; Mimi Li – Computer Assisted Language Learning, 2025
Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…
Descriptors: Cooperative Learning, Reading Comprehension, Documentation, Educational Technology
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Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
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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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Siowai Lo – Computer Assisted Language Learning, 2025
The design of tasks to induce learning from audiovisual input is vital for second/foreign language teachers and has attracted a good deal of attention in Computer-Assisted Language Learning (CALL) research. This study presents a new contribution to research in this area by investigating learner engagement in the context of vocabulary learning…
Descriptors: Captions, Video Technology, Computer Assisted Instruction, Second Language Instruction
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Taichi Yamashita – Computer Assisted Language Learning, 2024
The present paper reports on the effectiveness and inclusiveness of human-delivered synchronous written corrective feedback (SWCF) in paired writing tasks. Replicating Yamashita, Study 2 and Study 3 each conducted a classroom-based quasi-experimental study in an English-as-a-Second-Language (ESL) writing program at an American university. In Study…
Descriptors: Synchronous Communication, Feedback (Response), Student Evaluation, Written Language
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Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
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Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
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Qing Ma; Rui Yuan; Lok Ming Eric Cheung; Jing Yang – Computer Assisted Language Learning, 2024
The development of corpus-based language pedagogy (CBLP) is a complex and intriguing process that pertains to how corpus technology is directly applied to classroom teaching. Using a case study approach, this study investigated how two experienced university English teachers integrated corpus technology in authentic classroom teaching. Data…
Descriptors: Teaching Methods, Pedagogical Content Knowledge, Computational Linguistics, English (Second Language)
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Alamer, Abdullah; Al Khateeb, Ahmed – Computer Assisted Language Learning, 2023
The study of language learners' motivation has long been considered a key, determining factor of success in second/foreign language acquisition. Based on self-determination theory (SDT), the more autonomously motivated learners are, the better they engage in an activity. To sustain autonomous motivation, the learners' basic psychological needs…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Second Language Learning
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Pérez-Paredes, Pascual – Computer Assisted Language Learning, 2022
This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers and Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research…
Descriptors: Computational Linguistics, Teaching Methods, Computer Assisted Instruction, Second Language Learning
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Guangxiang Liu; Chaojun Ma; Jie Bao; Zhixin Liu – Computer Assisted Language Learning, 2025
Utilizing a structural equation modeling approach, this article aims to examine the dynamics between Informal Digital Learning of English (IDLE) and Intercultural Competence (ICC). Altogether, 1490 Chinese college students from different types of universities in China answered the self-developed and validated IDLE-ICC questionnaire. The results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Intercultural Communication
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Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
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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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Zheng, Chunping; Wang, Lili; Chai, Ching Sing – Computer Assisted Language Learning, 2023
Although formative assessment has been recognized as an effective way for improving learning, scant attention has been paid to the specific design on the sequence of applying formative assessment practice in computer-assisted language learning (CALL). Even less emphasis has been devoted to the cognitive and affective outcomes of different orders…
Descriptors: Self Evaluation (Individuals), Peer Evaluation, Video Technology, Formative Evaluation
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