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Showing 1 to 15 of 130 results Save | Export
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Jalil Fathi; Masoud Rahimi – Computer Assisted Language Learning, 2024
Adopting a sequential explanatory mixed-methods approach, this study explored the impact of electronic writing portfolio on writing performance in English as a foreign language (EFL) context. Two intact classes were first selected and randomly assigned to an electronic writing portfolio group (22 EFL students) and a conventional (i.e. paper-based)…
Descriptors: Collaborative Writing, Portfolios (Background Materials), English (Second Language), Second Language Learning
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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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Marwa F. Hafour – Computer Assisted Language Learning, 2024
Owing to the plethora of user-friendly audio/video creation and editing applications as well as free full-featured hosting platforms, videoing and sharing has become a lifestyle of today's students. Utilizing these spontaneous practices, the current study examined the effects of digital media assignments (DMAs) and accompanying asynchronous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Video Technology
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Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
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Behice Ceyda Cengiz; Amine Hatun Atas – Computer Assisted Language Learning, 2025
This research investigates the correlation between online self-regulation (OSR) and in class co-regulation (CR) within a flipped EFL (English as a Foreign Language) writing classroom. Employing a mixed methods approach, the study amalgamates descriptive and correlational quantitative data with qualitative interview data. Participants consisted of…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Correlation
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Ahmet Çekiç – Computer Assisted Language Learning, 2024
Despite increasing number of studies on incidental vocabulary learning through viewing in a foreign language, glosses, which have been proven to have facilitative effects in incidental vocabulary learning via other modes of input, have remained underexplored in audiovisual input. The current study investigates the effects of (1) traditional gloss…
Descriptors: Incidental Learning, Linguistic Input, Audiovisual Instruction, Teaching Methods
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W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö Barbutiu; Chitra Jayathilake – Computer Assisted Language Learning, 2024
The discussion on the dynamic assessment (DA) -- a combination of assessment and instruction -- and regulatory scales from implicit to explicit corrective feedback (CF) is relatively new in the CALL context. Applying the notions of Sociocultural Theory, Zone of Proximal Development (ZPD) and Mediation, the present study examines how a DA-based…
Descriptors: Synchronous Communication, Evaluation Methods, Feedback (Response), English (Second Language)
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Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
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Emily Di Zhang; Shulin Yu – Computer Assisted Language Learning, 2025
In this digital age, digital multimodal composing (DMC) has permeated the L2 classroom as a technology-enhanced L2 writing task. Despite the learning potential of DMC for L2 students, instruments that measure L2 students' DMC competence are rare. As such, the present study sought to develop and validate an L2 student DMC competence scale in the…
Descriptors: Foreign Countries, Construct Validity, Second Language Learning, English (Second Language)
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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
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Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
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Cucchiarini, Catia; Hubers, Ferdy; Strik, Helmer – Computer Assisted Language Learning, 2022
Idiomatic expressions like "hit the road" or "turn the tables" are known to be problematic for L2 learners, but research indicates that learning L2 idiomatic language is important. Relatively few studies, most of them focusing on English idioms, have investigated how L2 idioms are actually acquired and how this process is…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Li, Jia; Ji, Linying; Deng, Qizhen – Computer Assisted Language Learning, 2023
Despite the growing body of technology-assisted vocabulary intervention studies, few have addressed learning outcomes beyond target vocabulary and the interaction between the interventions and English language learners' (ELLs) initially different levels of vocabulary knowledge. The study examined the differential effects of a texting-based…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Vocabulary Development
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Turgay Han; Elif Sari – Computer Assisted Language Learning, 2024
Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…
Descriptors: Foreign Countries, Automation, Feedback (Response), English (Second Language)
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