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Showing 1 to 15 of 41 results Save | Export
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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
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Seongyong Lee; Jaeho Jeon – Computer Assisted Language Learning, 2024
Artificial agents, such as voice-controlled conversational agents (VCAs) built into smart devices, are becoming more prevalent in daily and educational contexts, enhancing the possibility of using them as language partners. However, research has primarily focused on the cognitive or affective outcomes of using these agents, overlooking questions…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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Shen Qiao; Samuel Kai Wah Chu; Susanna Siu-sze Yeung – Computer Assisted Language Learning, 2025
Morphological analysis is a form of problem solving to work out the meanings of unfamiliar words by applying knowledge of morphemes. It has emerged recently as an important predictor of reading comprehension. However, while gamification can potentially be used to teach this skill, few studies have examined its use. To address this, a…
Descriptors: Game Based Learning, English (Second Language), Second Language Learning, Second Language Instruction
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Ya-Wen Cheng; Yuping Wang; Yu-Jie Cheng; Nian-Shing Chen – Computer Assisted Language Learning, 2024
Existing research has established immense importance in contextual learning for second language development. However, to provide real-life context in the learning of a foreign language is challenging. To help create such a learning environment, our previous research developed an innovative system called the R&T System, utilizing robots (R) and…
Descriptors: Robotics, Internet, Game Based Learning, Children
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Mark Feng Teng – Computer Assisted Language Learning, 2025
Working memory (WM) may be an essential component of incidental vocabulary learning and retention from captioned videos. However, how WM affects young learners' incidental vocabulary learning under different types of captions remains unclear. The present study employs a between-subject research design. The main purpose is to examine how two types…
Descriptors: Captions, Incidental Learning, Vocabulary Development, English (Second Language)
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Yang, Yu-Fen; Goh, Alexis P. I.; Hong, Yi-Chun; Chen, Nian-Shing – Computer Assisted Language Learning, 2023
Few studies have focused on the comparison between collaborative and individual digital game-based learning (DGBL) performance for students who study English as a Foreign Language (EFL). In collaborative DGBL, how the composition of foreign language anxiety (FLA) within groups of students affects students' performance remains uncertain. This study…
Descriptors: Elementary School Students, Second Language Learning, Anxiety, Cooperation
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Yu-Fen Yang; Wen-Min Hsieh; Wing-Kwong Wong; Yi-Chun Hong; Siao-Cing Lai – Computer Assisted Language Learning, 2024
Foreign Language Anxiety (FLA) is considered a central affective factor influencing English as a Foreign Language (EFL) learning. This study thus developed an online simulation game to create a virtually situated learning environment for reducing EFL primary school students' FLA levels and improving their English vocabulary learning. A total of…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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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
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Pérez-Segura, José Jaime; Sánchez Ruiz, Raquel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Computer Assisted Language Learning, 2022
The present study firstly assesses how students can develop and improve the skills of listening and reading through personalized feedback. Secondly, it evaluates the motivational effects of the use of Audience Response Systems (ARS) in English lessons in comparison with the lessons where these electronic devices are not used. In three sessions, 68…
Descriptors: Feedback (Response), Individualized Instruction, Listening Skills, Reading Skills
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Behice Ceyda Cengiz; Amine Hatun Atas – Computer Assisted Language Learning, 2025
This research investigates the correlation between online self-regulation (OSR) and in class co-regulation (CR) within a flipped EFL (English as a Foreign Language) writing classroom. Employing a mixed methods approach, the study amalgamates descriptive and correlational quantitative data with qualitative interview data. Participants consisted of…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Correlation
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Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
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Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
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Lee, Sungyoon; Kuo, Li-Jen; Xu, Zhihong; Hu, Xueyan – Computer Assisted Language Learning, 2022
With the escalating growth of English language learners (ELLs) worldwide, educational technology has been identified as an important learning tool with significant potential to support second language literacy development. This review examined the effectiveness of technology-integrated literacy instruction in the classroom context for ELLs in…
Descriptors: Technology Integration, Elementary Secondary Education, English Language Learners, Literacy Education
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Chen, Chih-Ming; Li, Ming-Chaun; Lin, Mei-Feng – Computer Assisted Language Learning, 2022
This study is aimed to design a novel vocabulary learning mechanism (VLM) in the previously developed video-annotated learning and reviewing system (VALRS) that allows learners to identify unfamiliar or unknown words when listening to the video and generate personalized input enhancement from English subtitles for vocabulary learning. It is…
Descriptors: Video Technology, Captions, English (Second Language), Listening Comprehension
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Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
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