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Paola Guerrero-Rodriguez – Computer Assisted Language Learning, 2025
For heritage speakers (HSs), speaking their heritage language (HL) sometimes comes accompanied by HL anxiety and/or lack of confidence in their HL skills Although, HL anxiety and lack of confidence in the HL usually intertwine with few opportunities to use the language and/or being perceived as speakers of a stigmatized variety of the HL, the…
Descriptors: Native Language, Spanish, Self Esteem, Computer Mediated Communication
Asma Almusharraf; Daniel Bailey – Computer Assisted Language Learning, 2025
Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…
Descriptors: Web Sites, Student Attitudes, Language Proficiency, Second Language Learning
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)
Marwa F. Hafour; Dustin De Felice; Greg Kessler – Computer Assisted Language Learning, 2025
Being described as two sides of one coin, language and culture are increasingly recommended to be inseparably addressed. Thanks to technological advances, this is now more feasible than before. In response, this study examined the comparative effects of synchronous and asynchronous telecollaborative digital media projects (DMPs) on learners'…
Descriptors: English (Second Language), Second Language Instruction, Foreign Countries, Telecommunications
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
Mandana Rohollahzadeh Ebadi – Computer Assisted Language Learning, 2025
Drawing on Mayer's Cognitive Theory of Multimedia Learning, the present study aims to examine the effectiveness of technology-mediated teaching vocabulary in the form of multimedia glosses on EFL learners' depth and breadth of lexical knowledge. The study was conducted with 91 male and female undergraduate students at a lower-intermediate level of…
Descriptors: Vocabulary Development, Undergraduate Students, Females, Comparative Analysis
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
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
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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