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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
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)
Pham, Ha Thi Phuong – Computer Assisted Language Learning, 2022
This study investigates how two feedback forms and sequences influence peer feedback and revision. The two feedback forms included: written asynchronous computer-mediated communication (hereafter WACMC) in Google Docs and traditional oral face-to-face interaction (hereafter OF2F). These two forms were used in two sequences: WACMC followed by OF2F…
Descriptors: Feedback (Response), English (Second Language), Writing (Composition), Peer Evaluation
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
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)
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
Chang, Wan-Chen; Liao, Chang-Yen; Chan, Tak-Wai – Computer Assisted Language Learning, 2021
This study describes the use of a game-based writing environment (GWE) to increase textual cohesion in students' writing and improve their writing attitude. The participants were 113 third-grade students in Taiwan; the study was conducted over two semesters. A GWE was used for the experimental group (n = 56), and a conventional writing environment…
Descriptors: Children, Elementary School Students, Grade 3, Connected Discourse
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
Nguyen, Thi-Huyen; Hwang, Wu-Yuin; Pham, Xuan-Lam; Pham, Thao – Computer Assisted Language Learning, 2022
Our study explored EFL writing skills in relation to self-experience in an authentic learning context with the help of a mobile application. Two authentic writing activities ('Tell your story' and 'Describe your context') were designed and compared to see if they resulted in significant differences in EFL writing performance and writing behavior.…
Descriptors: Story Telling, Second Language Instruction, Second Language Learning, English (Second Language)
Li, Mimi – Computer Assisted Language Learning, 2018
Computer-mediated collaborative writing has been increasingly implemented in L2 contexts due to wider awareness of affordances and benefits of Web 2.0 technologies. A systematic review of empirical studies over the recent decade is called forth in order to arouse broadened knowledge and provide new insights in this promising area. This study…
Descriptors: Collaborative Writing, Educational Technology, Technology Uses in Education, Second Language Instruction
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Yang, Yu-Fen – Computer Assisted Language Learning, 2018
This study reports on how students construct new language knowledge by indirect feedback in web-based collaborative writing. Indirect feedback (text organization, reader-based perspectives, and clarity of purpose) encourages students to negotiate meaning instead of merely copying peers' direct feedback on grammatical corrections. According to the…
Descriptors: Feedback (Response), Collaborative Writing, Questionnaires, Language Proficiency
Pham, Vu Phi Ho; Usaha, Siriluck – Computer Assisted Language Learning, 2016
Few studies have been conducted to see how blog-based peer response helps students to improve their writing revisions. The present study investigates peer comments made through blogs, the nature of the comments and their areas of focus, and the ratios of students incorporating suggestions made through blog-based comments into revisions of their…
Descriptors: Second Language Learning, Electronic Publishing, Revision (Written Composition), Writing (Composition)
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
O'Rourke, Breffni – Computer Assisted Language Learning, 2008
Most research on text-based synchronous computer-mediated communication (SCMC) in language learning has used output logs as the sole data source. I review interactionist and sociocultural SCMC research, focusing in particular on the question of technological determinism, and conclude that, from whichever perspective, reliance on output logs leads…
Descriptors: Computer Mediated Communication, Computer Interfaces, Computer Assisted Instruction, Second Language Learning
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