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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
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)
Saeed Khazaie; Saman Ebadi – Computer Assisted Language Learning, 2025
This quasi-experimental study explored the feasibility of the augmented reality game-supported flipped classrooms for English for Medical Purposes reading among 464 students from the Isfahan University of Medical Sciences in two phases. In the quantitative phase, the participants watched the pre-recorded lectures on English for Medical Purposes…
Descriptors: Flipped Classroom, Computer Simulation, Reading Comprehension, English for Special Purposes
Zhi Quan; Lynn Grant; Darryl Hocking – Computer Assisted Language Learning, 2024
As a corpus-assisted method for language pedagogy, DDL (data-driven learning) may have the potential to enhance language exposure and promote active learner engagement. Concordancing, or KWIC (Key Words in Context), has been the traditional method used in DDL to retrieve numerous language examples, while the method has limitations with…
Descriptors: Language Patterns, Language Usage, Second Language Learning, English (Second Language)
Wu, Junjie Gavin; Miller, Lindsay – Computer Assisted Language Learning, 2021
This article reports the study of a novel way of raising tertiary-level students' native cultural awareness (NCA) via an informal mobile learning community. Through two cycles of action research at a teacher-education university in East China, the study drew upon the Community of Practice (CoP) theory to form a synchronous English chat group.…
Descriptors: Foreign Countries, Cultural Awareness, English (Second Language), Second Language Learning
Gruba, Paul; Chau Nguyen, Ngoc Bao – Computer Assisted Language Learning, 2019
In the main, evaluation in CALL has focused on the assessment of the individual use of technology in accord with the principles of second language acquisition. Now that CALL focuses on the full integration of technology in language programs, evaluators are urged to take into account a wide range of factors that span institutional policy,…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
Pitura, Joanna – Computer Assisted Language Learning, 2022
In order to obtain qualifications to teach English as a foreign language (TEFL), teacher candidates often need to commit themselves to writing a master's (MA) thesis. In efforts to shed light on how MA thesis supervisors can support supervisees in the writing process, drawing on the theoretical framework of language socialisation, this article…
Descriptors: Masters Programs, Teacher Education Programs, English (Second Language), Second Language Learning
Asik, Asuman; Köse, Serhan; Yangin Eksi, Gonca; Seferoglu, Gölge; Pereira, Ricardo; Ekiert, Malgorzata – Computer Assisted Language Learning, 2020
The aim of the study was to investigate how well language teacher education (LTE) programmes prepare future teachers for ICT integration with the comparison of three different contexts (Turkey, Portugal and Poland) from the perspectives of the teacher trainees and teacher educators (TEs). Using a scale and multiple interviews, the data were…
Descriptors: Technology Integration, Educational Technology, Language Teachers, English (Second Language)
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
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
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This paper investigates English language learners' oral presentation needs, alongside students' and instructors' perceptions towards mobile seamless language learning. The findings will be used to develop a mobile-based learning environment. Interviews with both instructors and students were used to help build a Likert questionnaire which was…
Descriptors: Public Speaking, Oral Language, Performance, Electronic Learning
Chiu, Wan-Yu; Liu, Gi-Zen; Barrett, Neil E.; Liaw, Meei-Ling; Hwang, Gwo-Jen; Lin, Chih-Chung – Computer Assisted Language Learning, 2023
In response to the needs of an international workforce, English for Specific Purpose courses are being promoted in higher education, and instructors are turning to learning technology to help design the instruction. In this paper, a needs analysis was conducted to guide the design of the system, materials and activities for context-aware…
Descriptors: Needs Assessment, English for Special Purposes, Program Design, Higher Education
Huang, Tzu-Hua; Wang, Lun-Zhu – Computer Assisted Language Learning, 2023
TPR (Total Physical Response) is a methodology for teaching foreign languages. In traditional TPR, teachers need to spend a considerable amount of time confirming the accuracy of students' movements, which results in a low-efficiency teaching process and affects the fairness of student learning. A motion sensing system can assess the accuracy of…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Motion

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