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Showing 1 to 15 of 87 results Save | Export
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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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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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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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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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Cárdenas-Claros, Mónica Stella – Computer Assisted Language Learning, 2022
This paper reports the results of three independent qualitative case studies that examined interactions with feedback as L2 listeners worked in self-regulated environments. Data on high-intermediate learners of English were collected from case studies conducted in Australia, Colombia and Chile. Results show that L2 listeners across case studies…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Nektaria-Efstathia Kourtali; Lais Borges – Computer Assisted Language Learning, 2024
Numerous studies have delved into the effects of interactional corrective feedback provided in the oral or written mode in the CALL environment (e.g.video-conferencing or text-based chat). Although previous research shows that several factors influence its effectiveness, a research area that merits more attention is the role of feedback timing…
Descriptors: Foreign Countries, Early Adolescents, English (Second Language), Second Language Learning
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Awada, Ghada M.; Diab, Nuwar Mawlawi – Computer Assisted Language Learning, 2023
This study set out to examine which peer review, face-to-face given orally or online given in writing, is more effective in improving the overall argumentative writing achievement of English as a foreign language (EFL) university learners. The study utilized an experimental design and reported on one experiment including online peer review (OLPR)…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), College Students
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Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
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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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Wenting Chen; Jianwu Gao – Computer Assisted Language Learning, 2024
While the importance of the peer feedback in second or foreign language (L2 or FL) classrooms in higher education has been increasingly recognized, empirical research on discussing peer feedback literacy from the perspective of community-based academic writing is very much in its infancy. Informed by the Community of Inquiry (CoI) framework, this…
Descriptors: Inquiry, Community Education, Feedback (Response), Computer Mediated Communication
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Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Xiao, Wei – Computer Assisted Language Learning, 2021
Although digital game-based vocabulary learning (DGBVL) has attracted considerable attention, factors attributing to the facilitative effects of DGBVL have not yet been satisfactorily understood. To this end, under the theoretical framework of flow theory, this study investigates the effects of flow experiences on Chinese…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Feedback (Response)
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Sarré, Cédric; Grosbois, Muriel; Brudermann, Cédric – Computer Assisted Language Learning, 2021
Corrective feedback (CF) can be provided to learners in different ways (explicit or implicit, focused or unfocused) and is the subject of major controversies in second language acquisition research. As no clear consensus has been reached so far about the most effective approach to CF with a view to fostering accuracy in second language (L2)…
Descriptors: Blended Learning, Comparative Analysis, Second Language Learning, 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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Xue, Sijia; Churchill, Daniel – Computer Assisted Language Learning, 2022
The educational potential of mobile and social media technologies in combination is becoming increasingly salient with the advance of modern technology. However, there is a dearth in the research on educational use of mobile social media for language learning. This study adopted a qualitative single case study approach to investigate a language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Student Centered Learning
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W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö Barbutiu; Chitra Jayathilake – Computer Assisted Language Learning, 2024
The discussion on the dynamic assessment (DA) -- a combination of assessment and instruction -- and regulatory scales from implicit to explicit corrective feedback (CF) is relatively new in the CALL context. Applying the notions of Sociocultural Theory, Zone of Proximal Development (ZPD) and Mediation, the present study examines how a DA-based…
Descriptors: Synchronous Communication, Evaluation Methods, Feedback (Response), English (Second Language)
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