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Showing 1 to 15 of 33 results Save | Export
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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
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Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Guangxiang Liu; Chaojun Ma; Jie Bao; Zhixin Liu – Computer Assisted Language Learning, 2025
Utilizing a structural equation modeling approach, this article aims to examine the dynamics between Informal Digital Learning of English (IDLE) and Intercultural Competence (ICC). Altogether, 1490 Chinese college students from different types of universities in China answered the self-developed and validated IDLE-ICC questionnaire. The results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Intercultural Communication
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Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
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Soyoof, Ali; Reynolds, Barry Lee; Vazquez-Calvo, Boris; McLay, Katherine – Computer Assisted Language Learning, 2023
As technology has advanced, so have opportunities for language socialization and practice. This reciprocal relationship has resulted in the emergence of a subfield of Computer Assisted Language Learning (CALL): Informal Digital Learning of English (IDLE). IDLE has manifested in various forms, including the more notable extramural and…
Descriptors: Informal Education, Second Language Instruction, Second Language Learning, English (Second Language)
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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)
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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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Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
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Lai, Kuo-Wei Kyle; Chen, Hao-Jan Howard – Computer Assisted Language Learning, 2023
Research on vocabulary acquisition in digital game-based learning has been increasing over the years, with advancements in technology giving rise to numerous learning alternatives in second language acquisition. As virtual reality gaming offers new opportunities to explore its effectiveness in language learning, it is thus important to investigate…
Descriptors: Vocabulary Development, Game Based Learning, Second Language Learning, Second Language Instruction
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Peng, Hongying; Jager, Sake; Lowie, Wander – Computer Assisted Language Learning, 2022
Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
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Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Xiao, Wei – Computer Assisted Language Learning, 2021
Although digital game-based vocabulary learning (DGBVL) has attracted considerable attention, factors attributing to the facilitative effects of DGBVL have not yet been satisfactorily understood. To this end, under the theoretical framework of flow theory, this study investigates the effects of flow experiences on Chinese…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Feedback (Response)
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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
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