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Yining Zhang; Binbin Zheng; Yuan Tian – Computer Assisted Language Learning, 2024
The use of text chat in synchronous computer-mediated communication (SCMC) could help remedy the widely reported lack of active involvement in online language learning. However, the nuances and complexities of learners' text-chat actions warrant further examination. This exploratory study used observational data collected from 40 students in a…
Descriptors: Synchronous Communication, Foreign Countries, Research Universities, English Language Learners
Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
Soraya García-Sánchez – Computer Assisted Language Learning, 2024
This research explores intralinguistic communicative mediation in an English for Specific Purposes (ESP) online journal writing to enhance professional development through the co-construction of meaning. It accentuates research gaps specific to learning English in the field of law under the approach of collaborative Computer Assisted Language…
Descriptors: English for Special Purposes, Foreign Countries, Law Students, Graduate Students
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
Pham, V. P. Ho – Computer Assisted Language Learning, 2021
Earlier research efforts have succeeded in training students to enhance their skills commenting on peer writing and using peer and lecturer comments to revise their writing, but few studies have investigated (1) the effect of the lecturer's e-comments on the quality of peer e-comments, and (2) the relative effectiveness of lecturer and peer…
Descriptors: Feedback (Response), Graduate Students, Peer Evaluation, Revision (Written Composition)
Zhang, Danyang; Pérez-Paredes, Pascual – Computer Assisted Language Learning, 2021
Despite the increasing ownership of mobile devices among Chinese postgraduate EFL learners, relevant studies regarding mobile English learning resources (MELR) use by postgraduate learners are still lacking. This study tries to understand the uses and the motivation behind language learners' selection of MALL resources. In this research, 95…
Descriptors: Graduate Students, Handheld Devices, Telecommunications, Second Language Learning
Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
Lee, Ju Seong; Drajati, Nur Arifah – Computer Assisted Language Learning, 2020
This study introduces a new scale of willingness to communicate in a second language (L2 WTC) in digital and non-digital EFL contexts. The psychometric testing of the revised L2 WTC (L2 WTC-R) was undertaken with 114 Indonesian EFL students by means of exploratory factor analysis (EFA). The results yielded an 11-item scale composed of three…
Descriptors: Psychometrics, Second Language Learning, Second Language Instruction, English (Second Language)
Shadiev, Rustam; Yang, Meng-ke; Reynolds, Barry Lee; Hwang, Wu-Yuin – Computer Assisted Language Learning, 2022
In this study, the participants learned English as a foreign language (EFL) in the classroom and then worked on five learning tasks to apply their newly learned knowledge to unfamiliar environments. The participants took photos of people, objects, situations or scenarios and described them in detail using a mobile learning system. Familiarization…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Pitura, Joanna – Computer Assisted Language Learning, 2022
In order to obtain qualifications to teach English as a foreign language (TEFL), teacher candidates often need to commit themselves to writing a master's (MA) thesis. In efforts to shed light on how MA thesis supervisors can support supervisees in the writing process, drawing on the theoretical framework of language socialisation, this article…
Descriptors: Masters Programs, Teacher Education Programs, English (Second Language), Second Language Learning
Wang, Jun; An, Na; Wright, Clare – Computer Assisted Language Learning, 2018
Flipped instruction has become a hot issue in foreign language teaching technology. In this study, we tracked learners in a beginner-level Chinese Foreign Language classroom to see if flipped teaching based on a MOOC made a difference to their oral proficiency development and rate of progress compared to a baseline group. Language development was…
Descriptors: Second Language Instruction, Homework, Video Technology, Teaching Methods
Kuure, Leena; Molin-Juustila, Tonja; Keisanen, Tiina; Riekki, Maritta; Iivari, Netta; Kinnula, Marianne – Computer Assisted Language Learning, 2016
Despite abundant research on educational technology and strategic input in the field, various surveys have shown that (language) teachers do not seem to embrace in their teaching the full potential of information and communication technology available in our everyday life. Language students soon entering the professional field could accelerate the…
Descriptors: Second Language Instruction, Second Language Learning, Language Teachers, Instructional Design
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Yeh, Hui-Chin – Computer Assisted Language Learning, 2015
Few studies have investigated how metacognitive processes foster the application of genre knowledge to students' academic writing. This is largely due to its internal and unobservable characteristics. To bridge this gap, an online writing system based on metacognition, involving the stages of planning, monitoring, evaluating, and revising, was…
Descriptors: Metacognition, Statistical Analysis, Academic Discourse, Sampling
Yang, Yu-Fen – Computer Assisted Language Learning, 2016
Recognizing that graduate students seldom have the opportunity to participate collaboratively, either in providing or receiving feedback to improve their academic writing skills, this study reports on the design of a computer-supported collaborative learning (CSCL) system used to investigate how graduate students transform and construct their…
Descriptors: Peer Evaluation, Feedback (Response), Writing Processes, Graduate Students
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