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Outi Veivo; Maarit Mutta – Computer Assisted Language Learning, 2025
This study focuses on dialogue breakdowns that can occur in robot-assisted language learning (RALL). Our aim is to analyse how children use gaze to resolve these breakdowns, that is, interruptions in the interaction caused by the robot's inability to understand the children and react appropriately. Our corpus consists of 18 video filmed L2…
Descriptors: Robotics, Technology Uses in Education, Second Language Learning, Interaction
Jiarui Hou; James F. Lee; Stephen Doherty – Computer Assisted Language Learning, 2024
Previous reading research on incidental word learning as product and process has largely employed computer- or paper-based delivery methods. The present study uses a novel combination of offline and online measures to examine the effects of mobile media (mobile phone and tablet) compared to traditional media (paper and computer) on incidental L2…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
Vanhees, Claudio; Simons, Mathea; Joosen, Vanessa – Computer Assisted Language Learning, 2023
In the digital age, children's and adolescents' willingness to engage in absorbed reading for pleasure is on the decline. Digital narratives with a linear storyline enriched with hyperlinks to supporting media materials, could potentially facilitate narrative absorption even better than print, thus stimulating fictional reading among adolescents.…
Descriptors: Adolescent Literature, Fiction, Hypermedia, Electronic Publishing
Teng, Feng – Computer Assisted Language Learning, 2022
This study intended to examine L2 young learners' vocabulary learning (i.e. form, meaning, and use). The research design involved a 2 (advance-organizer strategy: present vs. absent) × 4 (caption type: glossed full captions, glossed keyword captions, full captions, keyword captions) between-subjects design. A total of 240 Chinese ESL primary…
Descriptors: Foreign Countries, Elementary School Students, Second Language Learning, Vocabulary Development
Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
Kruk, Mariusz – Computer Assisted Language Learning, 2022
The first part of the paper offers the characteristics of the affective variables of willingness to communicate, motivation, language anxiety and boredom as located within the framework of the complex dynamic systems. The second part aims to discuss the results of a study intended to examine the effect of "Second Life" on two English…
Descriptors: Student Attitudes, Communication (Thought Transfer), Student Motivation, Attention Control
Zeng, Shuang; Zhang, Jingjing; Gao, Ming; Xu, Kate M.; Zhang, Jiang – Computer Assisted Language Learning, 2022
Learning analytics (LA) has the potential to generate new insights into the complexities of learning behaviours in language massive open online courses (LMOOCs). In LA, the collective attention model takes an ecological system view of the dynamic process of unequal participation patterns in online and flexible learning environments. In this study,…
Descriptors: Learning Analytics, MOOCs, Oral Language, English (Second Language)
Aryadoust, Vahid; Ang, Bee Hoon – Computer Assisted Language Learning, 2021
Eye tracking technology has become an increasingly popular methodology in language studies. Using data from 27 journals in language sciences indexed in the Social Science Citation Index and/or Scopus, we conducted an in-depth scientometric analysis of 341 research publications together with their 14,866 references between 1994 and 2018. We…
Descriptors: Eye Movements, Sex Stereotypes, Research Reports, Trend Analysis
Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Shih, Hui-chia Judy; Huang, Sheng-hui Cindy – Computer Assisted Language Learning, 2020
This study examines EFL students' metacognitive strategy use in a university flipped classroom and the underlying factors of metacognitive strategy use. The participants in our study were students enrolled in an elective English course at a university in Taiwan, where they had to watch online course videos outside of class and participate in…
Descriptors: Metacognition, Learning Strategies, College Students, English (Second Language)
Shadiev, Rustam; Huang, Yueh-Min – Computer Assisted Language Learning, 2020
In this study, we applied speech-enabled language translation (SELT) during lectures in a foreign language. The SELT program received input from the instructor's speech and generated translated texts that were shown to students during lectures. We tested the feasibility of our approach specifically with regard to how it facilitates student…
Descriptors: Attention, Cognitive Processes, Difficulty Level, Metacognition
Wong, Kevin M.; Samudra, Preeti G. – Computer Assisted Language Learning, 2021
The purpose of this study was to examine whether technology-based learning environments have the potential to support dual-language learners' (DLLs) vocabulary learning in their less dominant language. Interrogating Dual-Coding Theory (Paivio, 1986), this study investigates whether DLLs benefit from media content that is delivered both orally and…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, English (Second Language)
Hsieh, Yufen – Computer Assisted Language Learning, 2020
This study investigated how video caption type affected vocabulary learning and listening comprehension of low-intermediate Chinese-speaking learners of English. Each video was presented twice with one of the five caption types: (1) no caption (NC), (2) full caption with no audio (FCNA), (3) full caption (FC), (4) full caption with highlighted…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods