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Nazanin Adhami; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
The objective of this study was twofold: (a) to determine the extent to which three types of instruction could improve writing performance of railway engineering students and (b) to explore students' perceptions of flipped classroom, Edmodo, and Google Docs for improving their academic writing performance. The participants were 61 undergraduate…
Descriptors: Foreign Countries, Transportation, Engineering Education, Writing Instruction
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Zare, Javad; Karimpour, Sedigheh; Aqajani Delavar, Khadijeh – Computer Assisted Language Learning, 2023
The purpose of the present study was to investigate if following data-driven learning (DDL) to raise the learners' awareness of discourse organizers through concordancing improves their comprehension of English academic lectures. To address this issue, the current study adopted a quasi-experimental (comparison group, pretest-posttest) design. 96…
Descriptors: Classroom Communication, Discourse Analysis, Computational Linguistics, English for Academic Purposes
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Wang, Na; Chen, Juanwen; Zhang, Jingyuan – Computer Assisted Language Learning, 2022
This paper reports on the development of constructive EAP CALL courseware, and its integration into blended learning contexts, as a solution to the problems in EAP courses in Chinese universities. A case study of a defining skills package, developed for undergraduates at the University of Science and Technology Beijing (USTB), is used to…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Courseware
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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
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Xue, Sijia; Churchill, Daniel – Computer Assisted Language Learning, 2022
The educational potential of mobile and social media technologies in combination is becoming increasingly salient with the advance of modern technology. However, there is a dearth in the research on educational use of mobile social media for language learning. This study adopted a qualitative single case study approach to investigate a language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Student Centered Learning
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Ma, Qing – Computer Assisted Language Learning, 2020
This study investigated how one type of learner-generated information and content, i.e. inter-group peer online feedback, provided on a wiki writing assignment for an English for Academic Purposes (EAP) course, could contribute to student L2 writing. Using a mixed method approach, more than 1000 entries of online peer comments were collected,…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Collaborative Writing
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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
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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)
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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