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Li, Jia; Ji, Linying; Deng, Qizhen – Computer Assisted Language Learning, 2023
Despite the growing body of technology-assisted vocabulary intervention studies, few have addressed learning outcomes beyond target vocabulary and the interaction between the interventions and English language learners' (ELLs) initially different levels of vocabulary knowledge. The study examined the differential effects of a texting-based…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Vocabulary Development
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Siowai Lo – Computer Assisted Language Learning, 2025
The design of tasks to induce learning from audiovisual input is vital for second/foreign language teachers and has attracted a good deal of attention in Computer-Assisted Language Learning (CALL) research. This study presents a new contribution to research in this area by investigating learner engagement in the context of vocabulary learning…
Descriptors: Captions, Video Technology, Computer Assisted Instruction, Second Language Instruction
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Xuyan Qiu – Computer Assisted Language Learning, 2024
Task complexity and communication modes are two task design and implementation factors that have been found to affect second language (L2) learners' oral performance. While increasing task complexity and developing tasks according to the features of face-to-face and computer-mediated communication modes can optimise L2 production, few studies…
Descriptors: Difficulty Level, Second Language Learning, Learner Engagement, Computer Mediated Communication
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Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
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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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Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
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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
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Nami, Fatemeh – Computer Assisted Language Learning, 2022
This study applied Edmodo as a supplementary environment for additional language practice in a semi-technical English course in an EFL context, with a quasi-experimental between-subjects (control versus experimental group) design. In addition to conventional classroom instruction and practice, the experimental group practiced additional language…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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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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Lee, Sy-Ying; Lo, Yi-Hsuan Gloria; Chin, Ting-Chin – Computer Assisted Language Learning, 2021
Research has shown that a multiliteracies pedagogy creates more chance for students to meaningfully read and write to develop their critical perspective on cultural issues. This study experimented such a practice in an EFL college context applying a problem-based approach. Sophomore English majors were engaged in recursive reading and writing…
Descriptors: Multiple Literacies, Critical Literacy, English (Second Language), Second Language Learning
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Aldukhayel, Dukhayel – Computer Assisted Language Learning, 2021
The purpose of this study is to examine the perceptions of EFL learners and teachers toward vlogs as a source of aural input for L2 listening practice inside and outside of classroom. A total of 389 EFL university students drawn from 29 listening/speaking classes and their teachers participated in this study. After four weeks of exploiting vlogs…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Student Attitudes
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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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Ko, Myong-Hee – Computer Assisted Language Learning, 2019
The present study examined students' perspectives on using smartphones and social media to fill a lacuna in mobile-assisted feedback in L2 vocabulary learning. As part of a vocabulary-building activity, 208 undergraduate students in Korea drafted sentences incorporating target vocabulary taught by their instructor and uploaded their sentences to a…
Descriptors: Handheld Devices, Telecommunications, Social Media, Vocabulary Development
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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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Daskalovska, Nina – Computer Assisted Language Learning, 2015
One of the aspects of knowing a word is the knowledge of which words it is usually used with. Since knowledge of collocations is essential for appropriate and fluent use of language, learning collocations should have a central place in the study of vocabulary. There are different opinions about the best ways of learning collocations. This study…
Descriptors: Computational Linguistics, Phrase Structure, Verbs, Form Classes (Languages)
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