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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
Effect of Game-Based, Social Media, and Classroom-Based Instruction on the Learning of Phrasal Verbs
Roohani, Ali; Heidari Vincheh, Maryam – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL), which provides access to learning without the constraints of place and time, is worthy of exploration for pedagogical purposes. Given the use of gaming applications and social media as potential instructional methods for MALL, this study investigated the effect of these two methods, along with traditional…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Game Based Learning
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
Yu, Jie; Zhou, Xing; Yang, Xiaoming; Hu, Jie – Computer Assisted Language Learning, 2022
The issues of whether mobile-assisted English as a foreign language (EFL) reading is effective have become increasingly important for EFL teachers and policy-makers. However, empirical studies investigating EFL students' reading comprehension performance on mobile phones and students' perceptions of these reading formats are lacking. The present…
Descriptors: English (Second Language), Second Language Instruction, Telecommunications, Handheld Devices
Yoshida, Reiko – Computer Assisted Language Learning, 2022
The paper examines the emotions of 15 learners of Japanese across seven weekly online text chats in Japanese with native Japanese speakers, and the factors that caused their emotions. The data came from questionnaires about the learners' biodata and previous experiences of text chats, weekly reports about their chats, transcripts of the chats, and…
Descriptors: Emotional Response, Second Language Learning, Japanese, Synchronous Communication
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Wrigglesworth, Jonathan – Computer Assisted Language Learning, 2020
Successful second language learning can be seen as occurring in two arenas; the exposure and learning which occurs, under the guidance of a formal education setting, under the guidance of an instructor and that which occurs informally, under the guidance of the learner or incidentally as the learner pursues other activities. As smartphones have…
Descriptors: Foreign Countries, Handheld Devices, Computer Mediated Communication, Second Language Learning
Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This study investigated student perceptions and opinions on an English Oral Presentation Application (EOPA), a mobile learning application designed to assist English learners develop oral presentations and online collaboration skills. This study was part of a Design Based Research (DBR) project which incorporated an adapted Technology Acceptance…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Oral Language
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
Yue Zhang; Guangxiang Leon Liu – Computer Assisted Language Learning, 2025
In Computer-assisted language learning (CALL), the relationship between learner background and classroom-based digital language learning has been widely studied; however, little attention has been directed to informal digital learning of English (IDLE), a crucial subdomain of inquiry of CALL. Building on our prior IDLE study, this explanatory…
Descriptors: Language Proficiency, English (Second Language), Second Language Instruction, Second Language Learning
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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
Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction

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