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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
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)
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
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
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
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
Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems
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
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
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
Cheng, Ching-Hsue; Chen, Chung-Hsi – Computer Assisted Language Learning, 2022
Many scholars have highlighted the importance of motivation and anxiety in language learning. They have also indicated the advantages of integrating learning content into a mobile-assisted English learning system environment. Meanwhile, a few studies have explored the impacts of a mobile-assisted English learning system on the motivation and…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Student Attitudes
Bai, Barry; Wang, Jing; Zhou, Huixuan – Computer Assisted Language Learning, 2022
The present study reports on the effects of a self-regulated (SRL) writing strategy-based intervention supported with e-learning tools on SRL strategy use in English writing with 468 Hong Kong primary school students. The changes to the students' motivation in English writing, and their e-learning acceptance were also measured. The study adopted a…
Descriptors: Metacognition, Writing Instruction, Elementary School Students, Intervention
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
Forsyth, Carol M.; Luce, Christine; Zapata-Rivera, Diego; Jackson, G. Tanner; Evanini, Keelan; So, Youngsoon – Computer Assisted Language Learning, 2019
This study investigated a new conversation-based assessment for English language learners. In this assessment, students converse with animated agents in natural language conversations to assess various aspects of English language learning. In a between subjects design, 31 students (N = 31) were asked questions by either the newly created system or…
Descriptors: English Language Learners, English (Second Language), Second Language Learning, Formative Evaluation
Taghizadeh, Mahboubeh; Hasani Yourdshahi, Zahra – Computer Assisted Language Learning, 2020
To ensure the successful implementation of technology in young learners' classroom, the significant role of teachers in the appropriate use of related technologies should be considered. The purpose of this study was thus to examine the attitude, knowledge, use, and challenges of English teachers of young learners to integrate technological tools…
Descriptors: Technology Integration, Teaching Methods, Language Teachers, Second Language Learning