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Komori-Glatz, Miya; Smit, Ute – Applied Linguistics, 2022
The rise of English-medium education has led to considerable academic interest in communicative practices in multilingual university settings. However, there is still little research into disciplinary knowledge construction in higher education contexts where English is the academic lingua franca. To address this gap, we embrace the central role of…
Descriptors: Multilingualism, Universities, Language of Instruction, English (Second Language)
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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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Petra Polakova; Petra Ivenz – Cogent Education, 2024
This study investigates the effectiveness of ChatGPT feedback in enhancing the writing skills of Gen Z students, who constitute a significant portion of today's global population. Utilizing a mixed-methods approach, the research explores both quantitative and qualitative aspects of students' interactions with ChatGPT in the context of foreign…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Technology Uses in Education
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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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Svitlana Mykytiuk; Olena Lysytska; Oleksandr Chastnyk; Serhii Mykytiuk – IAFOR Journal of Education, 2025
The study explored the educational potential of the application of student-generated digital visual content for learning English as a second language (ESL) by undergraduate students enrolled in the course Foreign Language which is actually Introduction to Legal English. This study used a mixed-methods approach. The researchers designed a…
Descriptors: Artificial Intelligence, Visual Aids, Teaching Methods, English (Second Language)
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Barabadi, Elyas; Golparvar, Seyyed Ehsan; Arghavan, Amanollah – Discourse Processes: A Multidisciplinary Journal, 2021
This study examined the forms and functions of reformulation markers (RMs) in the three disciplines of philosophy, economics, and biology to see whether there is any disciplinary variation regarding these linguistic devices and their functions in essays written by undergraduate students. To this purpose, two corpora of university students' essays…
Descriptors: Essays, Discourse Analysis, Philosophy, Economics Education
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Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
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Kyung-Mi O. – Language Testing in Asia, 2024
This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…
Descriptors: Comparative Analysis, Artificial Intelligence, Computer Software, Test Items
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Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
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Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
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Song, Qiuyuan – English Language Teaching, 2021
This study aims to explore how corpus-based approaches can be used to address the distinctions of English near-synonyms effectively. Especially, it collected source data from the British National Corpus (BNC) and adopted Sketch Engine (SkE) as an analyzing tool to compare the near synonymous pair "damage" and "destroy" commonly…
Descriptors: Computational Linguistics, Phrase Structure, English, Language Usage
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Maghsoudi, Mojtaba; Mirzaeian, Vahid – JALT CALL Journal, 2020
EFL university students in general and Iranian EFL university learners in particular, specifically in the commencement of their study at bachelor degree prefer to have their assigned English texts translated into mother tongue since they do not have a good command of the language. Machine translation (MT) has recently turned into a favorite tool…
Descriptors: Translation, Computational Linguistics, Language Processing, Comparative Analysis
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Nicklin, Christopher; Vitta, Joseph P. – Language Testing, 2022
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of…
Descriptors: Programming Languages, Vocabulary Development, Language Tests, Computer Software
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Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
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