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Showing 1 to 15 of 149 results Save | Export
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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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Wen Jia; Austin Pack; Yi Guan; Liping Zhang; Bin Zou – Computer Assisted Language Learning, 2025
Despite the growing interest in game-based learning (GBL) over the last two decades, the influence of Augmented Reality-based GBL on English vocabulary growth is still not well understood when compared with other forms of media, especially with regard to academic English vocabulary. This quasi-experimental study with 90 Chinese…
Descriptors: Game Based Learning, English for Academic Purposes, Second Language Learning, Second Language Instruction
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Asma Alsahil – Computer Assisted Language Learning, 2024
Despite the plethora of research on computer-supported collaborative writing, previous studies have failed to provide an adequate analysis of the quality and quantity of multi-authored texts due to the vast amount of unstructured data. This study aims to expand the current research by contributing new perspectives to the understanding of students'…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Advanced Courses
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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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
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Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
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Paola Guerrero-Rodriguez – Computer Assisted Language Learning, 2025
For heritage speakers (HSs), speaking their heritage language (HL) sometimes comes accompanied by HL anxiety and/or lack of confidence in their HL skills Although, HL anxiety and lack of confidence in the HL usually intertwine with few opportunities to use the language and/or being perceived as speakers of a stigmatized variety of the HL, the…
Descriptors: Native Language, Spanish, Self Esteem, Computer Mediated Communication
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Knight, Janine; Dooly, Melinda; Barberà, Elena – Computer Assisted Language Learning, 2022
Research on mode in computer-mediated communication and language learning has primarily focused on mode-as-channel of communication such as audio- or videoconferencing. However, increasingly sophisticated technological tools now facilitate communication in multiple ways so that learners can convey and respond to peers and screen-based resources,…
Descriptors: Computer Assisted Instruction, Computer Mediated Communication, Second Language Learning, Second Language Instruction
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Kevin Papin; Regina Kaplan-Rakowski – Computer Assisted Language Learning, 2024
Second language (L2) learning research suggests that virtual reality (VR) has the potential to enhance the development of language skills due to its immersive nature and its situated learning opportunities. This quantitative, between-subjects study compared the effectiveness of three learning conditions. University students (N = 63) studied…
Descriptors: Foreign Countries, College Students, French, Second Language Learning
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Awada, Ghada M.; Diab, Nuwar Mawlawi – Computer Assisted Language Learning, 2023
This study set out to examine which peer review, face-to-face given orally or online given in writing, is more effective in improving the overall argumentative writing achievement of English as a foreign language (EFL) university learners. The study utilized an experimental design and reported on one experiment including online peer review (OLPR)…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), College Students
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Han Luo; Pan Gao – Computer Assisted Language Learning, 2024
This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the…
Descriptors: Computer Mediated Communication, Intercultural Communication, Computer Software, Group Discussion
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I-Fan Liu – Computer Assisted Language Learning, 2024
This study developed a realistic, interactive English blockade-running game that integrates virtual environments and mobile devices to conduct a collaborative and competitive contest to promote English learning among technical college students. In addition, it also explored students' learning effectiveness, perception of peer collaboration, and…
Descriptors: Foreign Countries, Vocational Schools, Technical Institutes, College Students
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Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas – Computer Assisted Language Learning, 2022
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…
Descriptors: Second Language Learning, Language Acquisition, Artificial Intelligence, Computer Simulation
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Lee, Sangmin-Michelle; Park, Moonyoung – Computer Assisted Language Learning, 2020
In many English as a foreign language (EFL) contexts, learning is often limited to decontextualized classroom learning, and students suffer from lack of interaction and authentic opportunities for language learning. One of the recent emerging technologies, context-aware augmented reality (AR) technology can mitigate this problem for EFL…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
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