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Bikram Kumar Singh – ProQuest LLC, 2023
The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and…
Descriptors: English Language Learners, Blended Learning, Computer Assisted Instruction, Educational Technology
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Mengsiying Li; Tai Wang – Education and Information Technologies, 2024
Began with Computer-Assisted Language Learning (CALL) in the 1960s and extended to the widespread use of various Mobile-Assisted Language Learning (MALL) tools in education, language learning has embraced technology early on, achieved noticeable results, and found extensive practical use. However, due to the challenges in accessing user data from…
Descriptors: Learning Strategies, Language Acquisition, Computer Oriented Programs, Educational Technology
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Qiufang Zheng – Educational Technology Research and Development, 2025
In the context of process-oriented writing instruction, the significance of engaging students in draft revision is widely acknowledged (McGarrell and Verbeem, ELT Journal 61:228-236, 2007). Nevertheless, L2 learners often exhibit limited motivation for writing, leading to inadequate revision efforts. This quasi-experimental study investigates the…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Writing Instruction, Writing Evaluation
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Muhammad Mujtaba Asad; Shafaque Shahzad; Syed Hassan Ali Shah; Fahad Sherwani; Norah Mansour Almusharraf – International Journal of Information and Learning Technology, 2024
Purpose: This paper holds considerable importance in the educational dynamics specifically ChatGPT as generative multimedia in English language writing pedagogy and presents a unique lens, as it uses a narrative literature review to view this cutting-edge topic. This paper compiles the knowledge and information already available regarding the…
Descriptors: English (Second Language), Writing Instruction, Artificial Intelligence, Computer Assisted Instruction
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Ümran Üstünbas – International Journal of Modern Education Studies, 2024
In an era of major advances in the digital world, artificial intelligence has been a part of programs, tools, applications, and platforms. It has also been integrated into fields of education including language teaching and learning. To this end, ChatGPT, one of the most recent AI-driven systems, has been proposed to support language learners'…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Speech Skills
Davis, Taylor – ProQuest LLC, 2022
Secondary English as a Second Language (ESL) students commonly face obstacles that put them at greater risk for learning gaps in computer assisted learning (CAL). These obstacles include but are not limited to computer attitudes, computer self-efficacy, digital empathy, and connectivity gaps. Student attitudes towards computers as learning devices…
Descriptors: Secondary School Students, English Language Learners, English (Second Language), Student Attitudes
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Ali Soyoof; Barry Lee Reynolds; Rustam Shadiev; Boris Vazquez-Calvo – Computer Assisted Language Learning, 2024
While the study of serious games has received due attention, few studies have investigated their potentials of simultaneously offering a route to both content and language acquisition. Understanding the interdisciplinary educational affordance of serious game play is significant, as it might provide game designers and teachers with insight into…
Descriptors: Computer Assisted Instruction, Computer Games, Second Language Learning, Second Language Instruction
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Hussein Meihami – Computer Assisted Language Learning, 2025
This study draws on an ecological perspective on teacher agency to examine the role of the situated learning CALL environment in developing EFL student-teachers' agency. The data were collected from eight student-teachers' autobiographical narratives and the recoded class discussions. The deductive thematic analysis of the data showed that…
Descriptors: Student Teachers, English (Second Language), Language Teachers, Student Attitudes
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Zamborova, Katarina; Klimova, Blanka – Contemporary Educational Technology, 2023
The article presents the research of empirical mixed methods on the use of a modern mobile reading app compared to traditional forms of teaching in English business classes in higher education in Slovakia. The research belongs to the theoretical frame of the mobile assisted language learning field that has generated an interest since the early…
Descriptors: Business English, English for Special Purposes, Computer Software, Computer Assisted Instruction
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Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
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Long Li; Mira Kim – Australasian Journal of Educational Technology, 2024
This paper explores international students' engagement with educational technology for self-regulated English learning at an Australian university. Despite the increased use of automated feedback systems (AFSs) for language assessment, students' critical engagement with them for independent learning remains under-researched. The study primarily…
Descriptors: Feedback (Response), Automation, English Language Learners, English (Second Language)
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David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
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Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
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Naoko Taguchi – Language Teaching, 2024
Learning pragmatics involves learning linguistic forms and their communicative functions as well as the context where the form-function relationships are realized. Given its socially grounded, context-sensitive nature, pragmatics may be best learned in a technology-enhanced environment that provides direct access to contextualized communicative…
Descriptors: Pragmatics, Language Acquisition, Game Based Learning, Video Games
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Mohammed Ali Mohsen; Sultan Althebi; Saba Qadhi – European Journal of Education, 2025
This bibliometric analysis explores the evolution of Computer-Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co-occurrence of keywords.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, English (Second Language)
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