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Showing 1 to 15 of 101 results Save | Export
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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
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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
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Karim Shabani; Arezou Jabbari – Computer Assisted Language Learning, 2025
Second language teaching has recently witnessed a transition from the conventional flipped classes to a fully online flipped instruction. The present study aims to examine the differential effects of two modes of fully online flipped instruction, i.e. interaction-embedded (IE) and interaction-reduced (IR), on EFL learners' speaking. Aligning with…
Descriptors: Second Language Instruction, English (Second Language), Flipped Classroom, Educational Technology
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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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Mendes de Oliveira, Milene; Sporn, Zachary; Kliemann, Lea; Borschke, Alexandra; Meyering, Meike – Computer Assisted Language Learning, 2023
Workforce mobility and diversity are now the reality for many businesses, requiring employers to facilitate their employees' acquisition of foreign languages (FLs). Developing communicative competencies in an FL is necessary to fulfill the demands of an international workplace. Increasingly, companies have done so with the support of commercial…
Descriptors: Electronic Learning, Second Language Learning, Verbal Communication, Work Environment
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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; 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
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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)
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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
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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
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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
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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
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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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Song, Yi; Sparks, Jesse R.; Guzman-Orth, Danielle – Computer Assisted Language Learning, 2022
The goal of this project was to design a scaffolded learning activity that develops English learners' (ELs) argumentation skills. In this study, we investigated how middle school ELs interacted with a game-enhanced scenario-based assessment of argumentation skills (named "Seaball"). The target skills included identifying and classifying…
Descriptors: English Language Learners, Persuasive Discourse, Skill Development, Middle School Students
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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
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