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Heejin Chang; Scott Windeatt – Computer Assisted Language Learning, 2023
This study investigates the potential of "VoiceThread" (VT) as a learning tool in order to enhance learners' performance and confidence, and to provide the basis for continuing independent practice. The participants were students from culturally and linguistically diverse backgrounds on a 10-week English for Academic Purposes (EAP)…
Descriptors: Foreign Countries, College Students, Audio Equipment, Computer Software
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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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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
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Webb, Marie; Doman, Evelyn – Computer Assisted Language Learning, 2020
This study investigates self-reported attitudes about technology-enhanced language learning in the flipped classroom across borders in three tertiary-level contexts. As a method to address students' needs for twenty-first century education, the flipped classroom pedagogical approach was chosen to explore student attitudes towards technology for…
Descriptors: Blended Learning, Student Attitudes, Computer Assisted Instruction, Foreign Countries
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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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Zou, Bin; Li, Hui; Li, Jiaying – Computer Assisted Language Learning, 2018
Mobile apps are broadly used by students in and after class to improve their language skills. This study aimed to investigate how a curriculum app and a social communication app can be integrated into English language teaching and learning and what sorts of tasks can be employed to enhance learners' EFL learning. A curriculum app was created by…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
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Li, Jia; Cummins, Jim; Deng, Qizhen – Computer Assisted Language Learning, 2017
This study examined university undergraduate English language learners' (ELLs) perspectives on an intervention, Word Matters, that aimed to enhance functional academic vocabulary learning critical to their cognitive academic language proficiency development (Cummins, 1989), a challenge faced by many ELLs in English-medium universities. This…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Student Attitudes
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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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Atai, Mahmood Reza; Dashtestani, Reza – Computer Assisted Language Learning, 2013
English for academic purposes (EAP) has established itself as a considerable part of English as a foreign language (EFL) instruction in Iranian universities. Considering the Internet as a major educational source in EAP reading courses, it is highly important that the stakeholders have positive attitudes toward it and be aware of promises and…
Descriptors: English for Academic Purposes, Stakeholders, Foreign Countries, Internet