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Qing-Ke Fu; Di Zou; Haoran Xie; Gary Cheng – Computer Assisted Language Learning, 2024
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the…
Descriptors: Journal Articles, Automation, Writing Evaluation, Feedback (Response)
Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
Dao, Phung; Duong, Phuong-Thao; Nguyen, Mai Xuan Nhat Chi – Computer Assisted Language Learning, 2023
This study investigated the effects of synchronous computer-mediated communication (SCMC) mode and interlocutor familiarity on frequency and characteristics of peer feedback in L2 interaction. Fifty dyads of EFL learners were equally assigned into familiar (+/--) groups and performed an interactive task in two SCMC modes (text/video-chats). After…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Amrate, Moustafa – Computer Assisted Language Learning, 2022
This study explores collaborative and individual computer-assisted prosody training (CAPT) through a quasi-experimental design. Eighteen adult Algerian EFL learners were recruited and randomly assigned into a control group receiving no treatment and two experimental groups, a collaborative CAPT group where the participants practiced in pairs, and…
Descriptors: Foreign Countries, Intonation, Suprasegmentals, Pronunciation Instruction
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
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
Yamashita, Taichi – Computer Assisted Language Learning, 2019
The present quasi-experimental study investigated the comparative effects of metalinguistic clue (MC) and metalinguistic explanation (ME) on the accurate use of Japanese transaction expressions. The study recruited 25 learners in a second-semester Japanese course (i.e. non-introduced group) and 17 students in a fourth-semester course (i.e.…
Descriptors: Cues, Metalinguistics, Prior Learning, Oral Language
Rassaei, Ehsan – Computer Assisted Language Learning, 2022
The study reported here investigated the effects of recasts on L2 development in terms of promoting EFL learners' accuracy in using English articles during mobile-mediated audio and video interactions. Fifty-two Iranian EFL learners were randomly assigned into two audio and video recasts conditions as well as two audio and video control groups.…
Descriptors: Comparative Analysis, Video Technology, Second Language Learning, Second Language Instruction
Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2019
Prior research has shown that EFL learners who wrote collaboratively with partners using wikis improved the content quality and language accuracy of their L2 individual writing more than students who wrote individually. Drawing on the dataset from Hsu and Lo's study, the current study explores the nature of the students' collaborative dialogue…
Descriptors: Web Sites, Collaborative Writing, Web 2.0 Technologies, English (Second Language)
Sydorenko, Tetyana; Daurio, Phoebe; Thorne, Steven L. – Computer Assisted Language Learning, 2018
To address the problem of limited opportunities for practicing second language speaking in interaction, especially delicate interactions requiring pragmatic competence, we describe computer simulations designed for the oral practice of extended pragmatic routines and report on the affordances of such simulations for learning pragmatically…
Descriptors: Oral Language, Computer Mediated Communication, Second Language Learning, Second Language Instruction
Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2016
This paper reports on an exploratory study that investigated the effect of extensive speaking practice on the development of L2 speaking complexity, accuracy, and fluency in voice blogging. The participants were 30 college EFL (English as a foreign language) learners in Taiwan. As a supplement to the insufficient speaking practice in class, each…
Descriptors: Second Language Learning, Language Skills, Language Fluency, College Students
Jiang, Wei; Eslami, Zohreh R. – Computer Assisted Language Learning, 2022
Although the effectiveness of computer-mediated collaborative writing (CMCW) is confirmed by many recent studies, only a few have investigated whether linguistic knowledge and writing skills learned through collaboration can be internalized and transferred to individual writing. This study uses a pre-and post-test design to investigate the impact…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
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