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Siowai Lo – Computer Assisted Language Learning, 2024
With the rise of computer-assisted online learning tools such as the "Language Reactor," advanced captioning options such as dual subtitles (i.e. simultaneous display of on-screen texts in the first language and the second/foreign language) have gained much attention. However, little is known about how dual-subtitled viewing may be…
Descriptors: Vocabulary Development, Captions, Intervention, Educational Technology
Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
Dai, Yuanjun; Wu, Zhiwei – Computer Assisted Language Learning, 2023
Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether and how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study is to investigate the effectiveness of feedback from peers and/or…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Danyang Zhang; Sara Hennessy; Pascual Pérez-Paredes – Computer Assisted Language Learning, 2025
The enormous importance of second language learning, paired with the rapid development of mobile-assisted language learning, has led to the increasing use of mobile dictionaries by English as a Foreign Language (EFL) learners at Chinese universities. Although many studies have explored the role of dictionaries in English language learning, few…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Dictionaries
Wu, Wen-Chi Vivian; Yang, Jie Chi; Scott Chen Hsieh, Jun; Yamamoto, Tosh – Computer Assisted Language Learning, 2020
Motivation has played an essential role in learning, leading to various research areas across diverse disciplines. While the literature is replete with findings supporting the essentiality of motivation in an individual's academic success, demotivation (a.k.a. negative motivation) has been underexplored, even though it has been a widespread…
Descriptors: English (Second Language), Second Language Instruction, Writing (Composition), Writing Instruction
Xu, Yiqin – Computer Assisted Language Learning, 2023
Despite repeated calls for the integration of digital multimodal composing (DMC) into English as a foreign language (EFL) teaching, the effect of the pedagogical use of DMC has been rarely investigated in the EFL context. Even less is known about the effects of DMC on students' L2 writing development. This study aims to address this issue by…
Descriptors: Educational Technology, English (Second Language), Second Language Instruction, Writing (Composition)
Peiru Tong; Zhaohui Yin; Linda Tsung – Computer Assisted Language Learning, 2024
In this study, the use of a popular mobile social networking platform (WeChat) is investigated for learning Chinese as a foreign language (CFL) in a beginners' course at an Australian university. Driven by practical considerations and major issues with previous literature, student engagement and authentic language used in a WeChat class group are…
Descriptors: Learner Engagement, Computer Mediated Communication, Social Media, Foreign Countries
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)
Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
Andrew Philpott; Jeong-Bae Son – Computer Assisted Language Learning, 2024
The study reported in this article investigated the use of quest-based learning (QBL) in a gamified English as a foreign language (EFL) course at a Japanese university. A mixed methods research design was utilised to explore the effect purposely designed quests can have on EFL students' foreign language (FL) motivation. The study was conducted…
Descriptors: College Students, Foreign Countries, English Language Learners, English (Second Language)
Jiarui Hou; James F. Lee; Stephen Doherty – Computer Assisted Language Learning, 2024
Previous reading research on incidental word learning as product and process has largely employed computer- or paper-based delivery methods. The present study uses a novel combination of offline and online measures to examine the effects of mobile media (mobile phone and tablet) compared to traditional media (paper and computer) on incidental L2…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
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)
Taghizadeh, Mahboubeh; Ejtehadi, Atena – Computer Assisted Language Learning, 2023
This study investigated pre-service English language teachers' and their instructors' experience with using online interaction tools, their views of the effectiveness of interaction tools in language development, their attitudes to implementing the tools, and the challenges they face in online interaction. The participants were 100 MA students of…
Descriptors: Preservice Teachers, English (Second Language), Second Language Instruction, Teacher Educators
García Botero, Gustavo; Questier, Frederik; Zhu, Chang – Computer Assisted Language Learning, 2019
Can mobile-assisted language learning (MALL) foster self-directed learning outside the classroom? This article examines informal, out-of-class engagement with a MALL tool: Duolingo. After being invited to use Duolingo, 118 higher education language students agreed to have their activity in the application tracked. In addition to the data collected…
Descriptors: Telecommunications, Handheld Devices, College Students, Educational Technology
Zhonggen, Yu; Ying, Zhu; Zhichun, Yang; Wentao, Chen – Computer Assisted Language Learning, 2019
After working with a number of scholars for two years, a university designed a mobile learning platform referred to as 'College English IV,' where learners could have easy access to various kinds of learning resources through installing the program in their smart phones. This study aims to identify whether this platform could significantly improve…
Descriptors: Student Satisfaction, Cognitive Processes, Difficulty Level, Telecommunications