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Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
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Wael Alharbi – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This mixed-methods study investigates the mismatch between student use of AI for academic tasks and teacher awareness in Saudi Arabian higher education. Surveys of 78 teachers and 243 students in English for Specific Purposes courses at public and private universities included Likert-scale items and an open-ended question on AI tools' benefits,…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Best Practices
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Xiao, Wenqi; Park, Moonyoung – International Journal of Computer-Assisted Language Learning and Teaching, 2021
With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English…
Descriptors: Automation, Computer Software, Handheld Devices, Diagnostic Tests
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Wu, Shaoqun; Fitzgerald, Alannah; Yu, Alex; Witten, Ian – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Learning collocations is one of the most challenging aspects of language learning as there are literally hundreds of thousands of possibilities for combining words. Corpus consultation with concordancers has been recognized in the literature as an established way for language learners to study and explore collocations at their own pace and in…
Descriptors: Phrase Structure, Computational Linguistics, Indexes, English (Second Language)
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Sinnott, Mark; Xia, Ling Angela – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This software review evaluates the Moodle plugin Level Up, which aims to add a gamification element to this commonly-used online education platform. The reviewers report their use of the plugin, describing its strengths, weakness and future potential. In doing so, they share their experiences of using it during a recent project that developed a…
Descriptors: Computer Software Reviews, Online Courses, Integrated Learning Systems, Educational Games
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Caruso, Marinella; Fraschini, Nicola; Kuuse, Sabine – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Feedback is one of the most important influences on second language learning. While much research has been undertaken in the field of corrective feedback, the study of student engagement with feedback in languages remains understudied. This article addresses the need for more interactive, effective and time-saving feedback, achieving more student…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Higher Education
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Lesnov, Roman Olegovich – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article compares second language test-takers' performance on an academic listening test in an audio-only mode versus an audio-video mode. A new method of classifying video-based visuals was developed and piloted, which used L2 expert opinions to place the video on a continuum from being content-deficient (not helpful for answering…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Classification