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Wenting Chen; Jianwu Gao – Computer Assisted Language Learning, 2024
While the importance of the peer feedback in second or foreign language (L2 or FL) classrooms in higher education has been increasingly recognized, empirical research on discussing peer feedback literacy from the perspective of community-based academic writing is very much in its infancy. Informed by the Community of Inquiry (CoI) framework, this…
Descriptors: Inquiry, Community Education, Feedback (Response), Computer Mediated Communication
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
Siowai Lo – Computer Assisted Language Learning, 2025
The design of tasks to induce learning from audiovisual input is vital for second/foreign language teachers and has attracted a good deal of attention in Computer-Assisted Language Learning (CALL) research. This study presents a new contribution to research in this area by investigating learner engagement in the context of vocabulary learning…
Descriptors: Captions, Video Technology, Computer Assisted Instruction, Second Language Instruction
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)
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)
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
Yujuan Luo; Mike Watts – Computer Assisted Language Learning, 2024
This study aimed to understand the nature of learning English in the digital age from students' personal 'learning lives'. Drawing on hermeneutic phenomenology's principles, this study conducted conversational interviews and obtained reflective reports from students over 5 months. The findings reveal that students' English learning experiences are…
Descriptors: Student Experience, Handheld Devices, English (Second Language), Second Language Learning
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)
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)
Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Li, Juan; Jiang, Hongquan; Shang, Aihua; Chen, Jingli – Computer Assisted Language Learning, 2021
Associative learning strategy (ALS) is an important means of acquiring vocabulary--especially in L2 learning. This study proposes a method to identify the associative learning mechanism based on complex network theory. First, a distributed association strategy (DAS) for the associative learning of L2 learners based on distributed language learning…
Descriptors: Associative Learning, Second Language Learning, Vocabulary, Learning Strategies
Ying Zhang – Computer Assisted Language Learning, 2024
The role of practice has been largely overlooked in second/foreign (L2) pragmatics research. Furthermore, very few studies have directly compared the effects of different "practice contexts" (e.g. practice in a telecollaborative context versus practice in a face-to-face context) on L2 learners' pragmatic competence (e.g. in compliment…
Descriptors: Second Language Learning, Telecommunications, Video Technology, In Person Learning
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This paper investigates English language learners' oral presentation needs, alongside students' and instructors' perceptions towards mobile seamless language learning. The findings will be used to develop a mobile-based learning environment. Interviews with both instructors and students were used to help build a Likert questionnaire which was…
Descriptors: Public Speaking, Oral Language, Performance, Electronic Learning
Link, Stephanie; Mehrzad, Mohaddeseh; Rahimi, Mohammad – Computer Assisted Language Learning, 2022
Recent years have witnessed an increasing interest in the use of automated writing evaluation (AWE) in second language writing classrooms. This increase is partially due to the belief that AWE can assist teachers by allowing them to devote more feedback to higher-level (HL) writing skills, such as content and organization, while the technology…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Revision (Written Composition)
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation