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Showing 1 to 15 of 25 results Save | Export
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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
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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
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Ya-Wen Cheng; Yuping Wang; Yu-Jie Cheng; Nian-Shing Chen – Computer Assisted Language Learning, 2024
Existing research has established immense importance in contextual learning for second language development. However, to provide real-life context in the learning of a foreign language is challenging. To help create such a learning environment, our previous research developed an innovative system called the R&T System, utilizing robots (R) and…
Descriptors: Robotics, Internet, Game Based Learning, Children
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Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
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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
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Ying Zhang – Computer Assisted Language Learning, 2024
The role of practice has been largely overlooked in second/foreign (L2) pragmatics research. Furthermore, very few studies have directly compared the effects of different "practice contexts" (e.g. practice in a telecollaborative context versus practice in a face-to-face context) on L2 learners' pragmatic competence (e.g. in compliment…
Descriptors: Second Language Learning, Telecommunications, Video Technology, In Person Learning
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Nazari, Mostafa; Xodabande, Ismail – Computer Assisted Language Learning, 2022
Mobile phones are turning into a growingly widespread educational tool across various contexts. However, the scope of research on teachers' role in mobile-oriented instruction is limited, much less examining how professional development influences their associated beliefs and practices. Grounded in sociocultural theory, this study aimed to fill…
Descriptors: Faculty Development, Teacher Attitudes, Telecommunications, Handheld Devices
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Wu, Mei-Hung – Computer Assisted Language Learning, 2021
The rise of augmented reality hits the world of Information, Communication and Technology which brings about the booming phenomenon of mobile games. One of hot mobile game with the successful application of augmented reality is "Pokémon Go," issued in August 2016. The uses of augmented reality not only give the gamers a new kind…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Computer Games
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Lin, Chih-Chung; Lin, Vivien; Liu, Gi-Zen; Kou, Xiaojing; Kulikova, Alena; Lin, Wenling – Computer Assisted Language Learning, 2020
Little review research has been conducted to describe the interaction and inter-relationships among components of reading development facilitated through mobile assisted language learning (MALL). The language learners, mediation via mobile devices, learning context, learning material and tasks, and learning outcomes need to be carefully examined…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Educational Technology
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Lim, Mei Hui; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
This study sought to examine research trends in computer-assisted language learning (CALL) using a retrospective scientometric approach. Scopus was used to search for relevant publications on the topic and generate a dataset consisting of 3,697 studies published in 11 journals between 1977 and 2020. A document co-citation analysis method was…
Descriptors: Trend Analysis, Research Reports, Computer Assisted Instruction, Teaching Methods
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Andujar, Alberto; Salaberri-Ramiro, Maria Sagrario – Computer Assisted Language Learning, 2021
This study investigates the use of computer-mediated and mobile-mediated chat-based communication in an EFL course and seeks to explore differences between both modes of communication in order to better understand their potential to foster language development. Factors such as engagement, timing, participation, addressivity, speakership roles,…
Descriptors: Computer Mediated Communication, Telecommunications, English (Second Language), Second Language Instruction
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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)
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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
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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
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Seibert Hanson, Aroline E.; Brown, Christina M. – Computer Assisted Language Learning, 2020
We tested the effectiveness of the spaced-repetition flashcard application, Anki, on improving 62 university-level learners' second language (L2) learning in a semester-long beginning Spanish course. Using effective study strategies is critical for L2 learning, but college students learning an L2 often study with strategies that are only useful…
Descriptors: Second Language Instruction, Second Language Learning, Spanish, College Students
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