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Marwa F. Hafour – Computer Assisted Language Learning, 2024
Owing to the plethora of user-friendly audio/video creation and editing applications as well as free full-featured hosting platforms, videoing and sharing has become a lifestyle of today's students. Utilizing these spontaneous practices, the current study examined the effects of digital media assignments (DMAs) and accompanying asynchronous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Video Technology
Ko, Myong-Hee – Computer Assisted Language Learning, 2022
The present study investigates South Korean university students' personal computer (PC) and smartphone usage patterns on an online Test of English for International Communication (TOEIC) website using learning analytics. A total of 107 students taking a "College TOEIC" course participated during one academic semester and records of their…
Descriptors: Computers, Telecommunications, Handheld Devices, English (Second Language)
Bueno-Alastuey, M. Camino; Nemeth, Katalin – Computer Assisted Language Learning, 2022
To date, several studies have investigated the potential benefits of using Quizlet and podcasts for vocabulary development. However, they have mainly focused on the use of available material, and its effects on receptive vocabulary acquisition and students' motivation. In contrast, relatively little has been done to study the effects of…
Descriptors: Vocabulary Development, Audio Equipment, Receptive Language, Expressive Language
Shih, Hui-chia Judy; Huang, Sheng-hui Cindy – Computer Assisted Language Learning, 2020
This study examines EFL students' metacognitive strategy use in a university flipped classroom and the underlying factors of metacognitive strategy use. The participants in our study were students enrolled in an elective English course at a university in Taiwan, where they had to watch online course videos outside of class and participate in…
Descriptors: Metacognition, Learning Strategies, College Students, English (Second Language)
Rasti-Behbahani, Amin; Shahbazi, Maryam – Computer Assisted Language Learning, 2022
This study investigates the probable effect of a digital game-based vocabulary learning (DGBVL) task on the acquisition of some components of a word knowledge framework. In so doing, 124 Persian speakers (56 males and 68 females) were randomly assigned to either a control or an experimental group. The experimental group participants completed a…
Descriptors: Computer Games, Game Based Learning, Comparative Analysis, Task Analysis
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
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
Carmen Muñoz; Anastasia Pattemore; Daniela Avello – Computer Assisted Language Learning, 2024
Repeated viewing of the same video is a common strategy among autonomous language learners as well as a much used pedagogical strategy among foreign language (FL) teachers. Learners may watch the same video more than once, to increase global comprehension of the target language or to focus their attention on linguistic aspects, such as new…
Descriptors: Captions, Vocabulary Development, Second Language Learning, Second Language Instruction
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
Hsieh, Yufen – Computer Assisted Language Learning, 2020
This study investigated how video caption type affected vocabulary learning and listening comprehension of low-intermediate Chinese-speaking learners of English. Each video was presented twice with one of the five caption types: (1) no caption (NC), (2) full caption with no audio (FCNA), (3) full caption (FC), (4) full caption with highlighted…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
Jia, Chengyuan; Hew, Khe Foon Timothy – Computer Assisted Language Learning, 2022
Lower-level processes have long been overlooked in EFL listening pedagogy. To address this pervasive problem, in this study, a program was designed that integrated WeChat, the most popular mobile instant messaging app in China, into dictation practice. Students in two classes studying a compulsory university EFL course were selected as…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, English (Second Language)
Zhu, Xuelian; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
A fundamental requirement of language assessments which is underresearched in computerized assessments is impartiality (fairness) or equal treatment of test takers regardless of background. The present study aimed to evaluate fairness in the Pearson Test of English (PTE) Academic Reading test, which is a computerized reading assessment, by…
Descriptors: Computer Assisted Testing, Language Tests, Native Language, Culture Fair Tests
Luo, Beate – Computer Assisted Language Learning, 2020
This study explored students' learning behavior before and after participating in an introduction to learning how to learn. This four-week intervention included the Massive Open Online Course "Learning How to Learn," further discussions on the content of this MOOC, and hands-on practice using learning platforms. Its purpose was to…
Descriptors: Online Courses, Academic Achievement, Language Proficiency, Comparative Analysis
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
Awada, Ghada; Burston, Jack; Ghannage, Rosie – Computer Assisted Language Learning, 2020
This study investigated the effectiveness of integrating Student Team Achievement Division (STAD), a structured cooperative learning method, and "WebQuest," an inquiry-based technological model (IBTM) on developing university English as a Foreign Language (EFL) students' advanced-level argumentative writing skills and enhancing…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Comparative Analysis

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