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Yanchao Yang; Zhe Shi; Yilin Wang; Yang Lu – Turkish Online Journal of Educational Technology - TOJET, 2025
As China joined the World Trade Organization (WTO) and its national strength continued to grow, enthusiasm for learning Chinese has been heating up globally. Chinese language education has gradually integrated into the education systems of more countries, becoming a significant focus of attention and study. However, despite the increasing demand…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Oral Language
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Anne Edstrom; Jennifer Ewald – NECTFL Review, 2025
Online learning programs provide real time feedback and offer some degree of access to "real" oral communication, yet these platforms, for the most part, involve using the software in isolation. Though Rosetta Stone is designed for independent learning, the present study experiments with a model for implementing it as a collaborative…
Descriptors: Cooperative Learning, Second Language Learning, Computer Assisted Instruction, Italian
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Mohammed Ali Mohsen; Sultan Althebi; Saba Qadhi – European Journal of Education, 2025
This bibliometric analysis explores the evolution of Computer-Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co-occurrence of keywords.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, English (Second Language)
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Xiaotong Yu; María Ángeles Gutiérrez-García; Roberto Soto-Varela; Melchor Gómez-García – Contemporary Educational Technology, 2025
Robotics education and robot-embedded learning have become focal points in recent interdisciplinary and innovative education. Despite the identified opportunities, there are still limitations and considerations before integrating educational robotics into foreign language education on a large scale. This survey investigates foreign language…
Descriptors: Language Teachers, Teacher Attitudes, Educational Technology, Robotics
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Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
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Venus Chan – Journal of Computer Assisted Learning, 2025
Background: Technology advancement changes not only interpreting practices but also its pedagogy, which has long been criticised for lacking authenticity in/out-of-classroom practices. Objective: This empirical research aims to develop a mobile-assisted language learning application powered by extended reality (XR). Shortened as 'XR MALL', this…
Descriptors: Computer Simulation, Computer Assisted Instruction, Second Language Learning, Translation
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Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
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Qikai Wang; Yang Gao; Jialing Sun – European Journal of Education, 2025
With the rapid integration of artificial intelligence (AI) into English as a Foreign Language (EFL) classrooms, understanding how human teachers can effectively support learners has become increasingly important. This study investigates Chinese university students' perceived importance of different forms of teacher support in AI-assisted EFL…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Computer Assisted Instruction
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Huan Kang; Hong Chen – Education and Information Technologies, 2025
This study investigates the effects of online instructors' use of initiation and maintenance rapport-building strategies (RBS) on Chinese EFL learners' CALL motivation and cognitive load management. Mixed methods research was used to concurrently triangulate different strands of data on the effects of RBS on 86 randomly sampled EFL learners. The…
Descriptors: English (Second Language), Second Language Learning, Teacher Student Relationship, Cognitive Processes
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Meixiu Zhang; Mimi Li – Computer Assisted Language Learning, 2025
Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…
Descriptors: Cooperative Learning, Reading Comprehension, Documentation, Educational Technology
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Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen
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Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
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Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
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Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
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