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Showing 1 to 15 of 36 results Save | Export
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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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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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Pu Pu; Daniel Yu-Sheng Chang – Computer Assisted Language Learning, 2025
While blended learning has received scholarly attention in EFL contexts, little empirical research has investigated the effects of online input modes on learning achievement and attitudes. This study thus examined the effects of bimodal and multimodal online input on blended speaking instruction in a Chinese university. A quasi-experimental,…
Descriptors: Speech Communication, Blended Learning, Student Attitudes, Learning Processes
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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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Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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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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Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Cucchiarini, Catia; Hubers, Ferdy; Strik, Helmer – Computer Assisted Language Learning, 2022
Idiomatic expressions like "hit the road" or "turn the tables" are known to be problematic for L2 learners, but research indicates that learning L2 idiomatic language is important. Relatively few studies, most of them focusing on English idioms, have investigated how L2 idioms are actually acquired and how this process is…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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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 – Computer Assisted Language Learning, 2022
Digital technologies have been widely used to enhance language learning, the effectiveness of which has been acknowledged in the literature. With the rapid development of digital devices and technologies, increasing technologies have been used in the most recent several years, leading to more diversified approaches to language education. This…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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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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