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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
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)
Zhang, Meixiu; Akoto, Miriam; Li, Mimi – Computer Assisted Language Learning, 2023
Driven by the digital revolution in second language (L2) classrooms and broadened views on literacy, digital multimodal composing (DMC) has gained a robust growth of interests in the past decade. To illuminate the empirical landscape of this budding field, this paper provides a substantive and methodological review of 60 empirical L2 studies on…
Descriptors: Computer Assisted Instruction, Second Languages, Multimedia Materials, Writing (Composition)
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Aloraini, Nouf; Cardoso, Walcir – Computer Assisted Language Learning, 2022
The literature on students' perceptions towards using Social Media (SM) for language learning reports mixed findings: while some studies indicate learners' positive perceptions of their use for academic purposes (e.g., Bani-Hani et al.), others suggest that learners' perceptions might vary due to their proficiency in the language (e.g., Gamble…
Descriptors: College Students, English Language Learners, Foreign Countries, Social Media
Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
Soraya García-Sánchez – Computer Assisted Language Learning, 2024
This research explores intralinguistic communicative mediation in an English for Specific Purposes (ESP) online journal writing to enhance professional development through the co-construction of meaning. It accentuates research gaps specific to learning English in the field of law under the approach of collaborative Computer Assisted Language…
Descriptors: English for Special Purposes, Foreign Countries, Law Students, Graduate Students
Chengyuan Jia; Khe Foon Hew; Mingting Li – Computer Assisted Language Learning, 2025
Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, Teaching Methods
Gánem-Gutiérrez, Gabriela Adela; Gilmore, Alexander – Computer Assisted Language Learning, 2023
This study used a mixed methods research design to investigate use of Web-based lexicographic tools during real-time second language (L2) writing activity in an English as a foreign language university context and the impact of their use on writing quality. Participants included 22 adult Japanese EFL learners, elementary to advanced language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Writing Instruction
Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
Rienties, Bart; Lewis, Tim; O'Dowd, Robert; Rets, Irina; Rogaten, Jekaterina – Computer Assisted Language Learning, 2022
Several studies on Virtual Exchange (VE) have highlighted positive learning experiences, increases in technological pedagogical and content skills (TPACK) and foreign language (FL) competence. However, most VE research to date use qualitative or descriptive case-studies of how VEs have been implemented, and what "might" have worked. In…
Descriptors: International Educational Exchange, Teacher Exchange Programs, Preservice Teachers, Technological Literacy
Xuyan Qiu – Computer Assisted Language Learning, 2024
Task complexity and communication modes are two task design and implementation factors that have been found to affect second language (L2) learners' oral performance. While increasing task complexity and developing tasks according to the features of face-to-face and computer-mediated communication modes can optimise L2 production, few studies…
Descriptors: Difficulty Level, Second Language Learning, Learner Engagement, Computer Mediated Communication
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
Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
Lenkaitis, Chesla Ann – Computer Assisted Language Learning, 2020
This study qualitatively and quantitatively investigated synchronous (real-time) computer-mediated communication (SCMC), via Zoom (https://zoom.us) videoconferencing, to explore second language (L2) learning and learner autonomy. Twenty-five L2 Spanish participants (n = 25) from the same university utilized SCMC over a 6-week implementation…
Descriptors: Technology Integration, Videoconferencing, Second Language Learning, Personal Autonomy