Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 18 |
Since 2016 (last 10 years) | 24 |
Since 2006 (last 20 years) | 26 |
Descriptor
Source
Computer Assisted Language… | 26 |
Author
Tsai, Shu-Chiao | 2 |
Ahn, Soojin | 1 |
Awada, Ghada M. | 1 |
Azizullah Mirzaei | 1 |
Baturay, Meltem Huri | 1 |
Botero Restrepo, Margarita… | 1 |
Brudermann, Cédric | 1 |
Chang, J. S. | 1 |
Chen, M.-H. | 1 |
Chung, Eun Seon | 1 |
Daloglu, Aysegul | 1 |
More ▼ |
Publication Type
Journal Articles | 26 |
Reports - Research | 26 |
Tests/Questionnaires | 2 |
Information Analyses | 1 |
Education Level
Higher Education | 22 |
Postsecondary Education | 21 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Location
China | 8 |
Iran | 3 |
Taiwan | 3 |
Turkey | 3 |
Kuwait | 2 |
South Korea | 2 |
United States | 2 |
Asia | 1 |
Colombia | 1 |
Czech Republic | 1 |
France | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Dale Chall Readability Formula | 1 |
Flesch Kincaid Grade Level… | 1 |
Flesch Reading Ease Formula | 1 |
International English… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
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
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
Link, Stephanie; Mehrzad, Mohaddeseh; Rahimi, Mohammad – Computer Assisted Language Learning, 2022
Recent years have witnessed an increasing interest in the use of automated writing evaluation (AWE) in second language writing classrooms. This increase is partially due to the belief that AWE can assist teachers by allowing them to devote more feedback to higher-level (HL) writing skills, such as content and organization, while the technology…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Revision (Written Composition)
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Saadet Korucu-Kis – Computer Assisted Language Learning, 2025
Although a number of studies examined the use of social networking sites (SNSs) in academic writing instruction, these studies mainly revolve around social media centered on microblogging features. Despite living in a visually dominated world, the potential of visual social media such as Instagram whereby the textual, the visual and the social can…
Descriptors: Writing (Composition), Writing Instruction, Visual Aids, Social Media
Azizullah Mirzaei; Hanieh Shafiee Rad; Ebrahim Rahimi – Computer Assisted Language Learning, 2024
The Attention, Relevance, Confidence, and Satisfaction (ARCS) model provides a basis for integrating motivational dynamics and technological affordances into the design and implementation of instructions to maintain learner motivation and interest. Little attention has been paid to this potential in teaching the complex and often demotivating…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Second Language Instruction
Wang, Weiwei; Jiang, Lianjiang – Computer Assisted Language Learning, 2023
While social networking sites (SNSs) have attracted growing scholarly interest in uncovering L2 learners' participation within these sites, the impact of writing on SNSs upon students' writing performance and learner autonomy remains underexplored. This study reported on a college EFL writing course participated by two groups of Chinese first-year…
Descriptors: Personal Autonomy, Social Networks, Social Media, Computer Mediated Communication
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
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
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation
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
Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
García Botero, Gustavo; Botero Restrepo, Margarita Alexandra; Zhu, Chang; Questier, Frederik – Computer Assisted Language Learning, 2021
Learners need diligence when going solo in technology-enhanced learning environments. Nevertheless, self-regulation and scaffolding are two under-researched concepts when it comes to mobile learning. To tackle this knowledge gap, this study focuses on self-regulation and scaffolding for mobile assisted language learning (MALL). Fifty-two students…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Guo, Qian; Feng, Ruiling; Hua, Yuanfang – Computer Assisted Language Learning, 2022
AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Previous Page | Next Page »
Pages: 1 | 2