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Esra Atalan; Gonca Subasi – Turkish Online Journal of Educational Technology - TOJET, 2023
Developing the ability to pronounce a word clearly is an essential component of oral communication. Hence, the present study aims to examine how the use of Quizlet, a digital flashcard tool, can contribute to enhancing the pronunciation abilities of 9th-grade Turkish EFL students at a state high school in Gaziantep. The study included a total of…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Computer Software
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Rezuanova, Galiyapanu; Bulatbayeva, Kulzhanat; Smagulova, Markhaba; Tynybayeva, Madina; Schnaider, Vladimir; Zhukenova, Alma – International Journal of Education in Mathematics, Science and Technology, 2023
The purpose of this study is to examine the effect of computer-assisted instruction on the language achievement (Kazakh, English and Russian) and attitudes of university students who will work in general education schools in the future. In line with this purpose, pre-test post-test model with control group was applied in the study. The study group…
Descriptors: Bilingual Education, Multilingualism, Computer Assisted Instruction, Academic Achievement
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Mark Feng Teng – Computer Assisted Language Learning, 2025
Working memory (WM) may be an essential component of incidental vocabulary learning and retention from captioned videos. However, how WM affects young learners' incidental vocabulary learning under different types of captions remains unclear. The present study employs a between-subject research design. The main purpose is to examine how two types…
Descriptors: Captions, Incidental Learning, Vocabulary Development, English (Second Language)
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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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Raniya Abdullah Alsehibany; Safaa M. Abdelhalim – Computer Assisted Language Learning, 2025
In the past two decades, corpora have been proposed as valuable computer-assisted tools for teaching and learning academic writing in English at the university level. This article reports on an empirical study that sought to examine the effectiveness of direct corpus consultation in overcoming vocabulary errors in academic writing. This study is…
Descriptors: Undergraduate Students, Majors (Students), English (Second Language), Second Language Learning
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Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
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Imsa-Ard, Pariwat; Tangkiengsirisin, Supong – rEFLections, 2023
The escalating incorporation of digital pedagogical technology in higher education, particularly in the post-pandemic period, posits a potential evolution in the paradigm of language instruction and assessment. The focal point of this research is to uncover the digitally-mediated language assessment practices (D-LAP) employed by Thai EFL lecturers…
Descriptors: Computer Assisted Instruction, Student Evaluation, Language Tests, Second Language Learning
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Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
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Ali Al Ghaithi; Behnam Behforouz; Hassan Isyaku – Turkish Online Journal of Distance Education, 2024
This study tried to design a WhatsApp bot to be implemented in English language vocabulary learning context in Oman. 150 Omani English as a Foreign Language (EFL) students from three different proficiency levels were selected based on random sampling. To measure the effectiveness of the treatment, pretests, posttests, and delayed posttests were…
Descriptors: Computer Software, Teaching Methods, Computer Assisted Instruction, Student Attitudes
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Naccache, Hiba; Altae, Mayamin; Al-Own, Fatima Abdulla – Journal of Educational Technology Systems, 2023
This paper studies the effect of implementing a new Arabic language learning software Test Survey for Students (TSFS) developed by the researchers and marketed as brain training software for primary students on language skills using Science, Technology, Arts, and Mathematics (STEAM) subjects. The teaching of Arabic language via computer-assisted…
Descriptors: Computer Assisted Instruction, Native Language Instruction, Arabic, Computer Software
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Dao, Phung; Duong, Phuong-Thao; Nguyen, Mai Xuan Nhat Chi – Computer Assisted Language Learning, 2023
This study investigated the effects of synchronous computer-mediated communication (SCMC) mode and interlocutor familiarity on frequency and characteristics of peer feedback in L2 interaction. Fifty dyads of EFL learners were equally assigned into familiar (+/--) groups and performed an interactive task in two SCMC modes (text/video-chats). After…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Heng Lu – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
The test view is on the Duolingo English Test (DET), an alternative online English proficiency test with a machine-driven characteristic. The review covers essential information of the DET such as test purpose, usage, score-mapping with CEFR scale, price, and publisher. Meanwhile, the test usefulness is discussed with focuses on reliability,…
Descriptors: Computer Software, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Simin Ren; Paul Seedhouse – Classroom Discourse, 2024
We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…
Descriptors: Second Language Learning, Second Language Instruction, Language Tests, Computer Software
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Yue Zhang; Guangxiang Leon Liu – Computer Assisted Language Learning, 2025
In Computer-assisted language learning (CALL), the relationship between learner background and classroom-based digital language learning has been widely studied; however, little attention has been directed to informal digital learning of English (IDLE), a crucial subdomain of inquiry of CALL. Building on our prior IDLE study, this explanatory…
Descriptors: Language Proficiency, English (Second Language), Second Language Instruction, Second Language Learning
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Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
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