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Chen Chen; Yifeng Yuan – Computer Assisted Language Learning, 2025
This study explores the effectiveness of Virtual Reality (VR) in Chinese as a second language (CSL) vocabulary learning from the international students' perspective. A new theoretical framework of VR-based vocabulary learning was designed and verified to serve the investigation. A total of 30 international students learning CSL in a Chinese…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Computer Simulation
Mark Feng Teng – Computer Assisted Language Learning, 2025
The present study aims to examine incidental vocabulary learning from different genres of captioned videos while considering frequency, vocabulary knowledge, comprehension, and working memory. A total of 210 learners who learn English as a foreign language (EFL) were assigned to 6 treatment conditions that differed in terms of video genres…
Descriptors: Incidental Learning, Vocabulary Development, Recall (Psychology), Second Language Learning
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
Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
Chengyuan Jia; Khe Foon Hew; Mingting Li – Computer Assisted Language Learning, 2025
Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, Teaching Methods
Yue Zhang; Guangxiang Leon Liu – Computer Assisted Language Learning, 2025
In Computer-assisted language learning (CALL), the relationship between learner background and classroom-based digital language learning has been widely studied; however, little attention has been directed to informal digital learning of English (IDLE), a crucial subdomain of inquiry of CALL. Building on our prior IDLE study, this explanatory…
Descriptors: Language Proficiency, English (Second Language), Second Language Instruction, Second Language Learning
Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
Jia, Chengyuan; Hew, Khe Foon Timothy – Computer Assisted Language Learning, 2022
Lower-level processes have long been overlooked in EFL listening pedagogy. To address this pervasive problem, in this study, a program was designed that integrated WeChat, the most popular mobile instant messaging app in China, into dictation practice. Students in two classes studying a compulsory university EFL course were selected as…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, English (Second Language)
Xu, Qi; Peng, Hongying – Computer Assisted Language Learning, 2017
This article reports on an exploratory study investigating mobile-assisted oral feedback in teaching Chinese as a second language (CSL). It is aimed at exploring the characteristics of mobile-assisted feedback on oral production with the smartphone social communication app WeChat as a case in point and examining learners' perceptions of…
Descriptors: Oral Language, Feedback (Response), Chinese, Second Language Learning
Zou, Bin; Wang, Dongshuo; Xing, Minjie – Computer Assisted Language Learning, 2016
Wikis provide users with opportunities to post and edit messages to collaborate in the language learning process. Many studies have offered findings to show positive impact of Wiki-based language learning for learners. This paper explores the effect of collaborative task in error correction for English as a Foreign Language learning in an online…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Electronic Publishing
Matthews, Joshua; O'Toole, John Mitchell; Chen, Shen – Computer Assisted Language Learning, 2017
This paper reports on task interaction, task success and word learning among second language (L2) learners of different levels of word recognition from speech (WRS) proficiency who used a CALL application previously shown to be effective in the development of L2 WRS. Participants (N = 65) were categorised into three levels of L2 WRS proficiency…
Descriptors: Word Recognition, Language Proficiency, Scores, Comparative Analysis
Ma, Qing – Computer Assisted Language Learning, 2007
It is argued in this article that user actions need to be monitored to understand what has happened during the learning process. Monitoring on its own is not enough; user actions also need to be controlled to some degree so that users can receive the guidance they need to help them to the successful completion of the learning tasks in CALL…
Descriptors: Vocabulary Development, Computer Assisted Instruction, Second Language Learning, Second Language Instruction

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