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Showing 1 to 15 of 27 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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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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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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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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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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García-Gómez, Antonio – Computer Assisted Language Learning, 2022
By using small focus group discussions, the present study aims to gain insight into students' perceptions about the impact of WhatsApp use in their learning process. More specifically, this study presents a cross-cultural analysis of British and Spanish university students' personal beliefs about the effectiveness of using WhatsApp to complete…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Pragmatics
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Carmen Muñoz; Anastasia Pattemore; Daniela Avello – Computer Assisted Language Learning, 2024
Repeated viewing of the same video is a common strategy among autonomous language learners as well as a much used pedagogical strategy among foreign language (FL) teachers. Learners may watch the same video more than once, to increase global comprehension of the target language or to focus their attention on linguistic aspects, such as new…
Descriptors: Captions, Vocabulary Development, Second Language Learning, Second Language Instruction
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García Botero, Gustavo; Botero Restrepo, Margarita Alexandra; Zhu, Chang; Questier, Frederik – Computer Assisted Language Learning, 2021
Learners need diligence when going solo in technology-enhanced learning environments. Nevertheless, self-regulation and scaffolding are two under-researched concepts when it comes to mobile learning. To tackle this knowledge gap, this study focuses on self-regulation and scaffolding for mobile assisted language learning (MALL). Fifty-two students…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Lee, Sangmin-Michelle; Park, Moonyoung – Computer Assisted Language Learning, 2020
In many English as a foreign language (EFL) contexts, learning is often limited to decontextualized classroom learning, and students suffer from lack of interaction and authentic opportunities for language learning. One of the recent emerging technologies, context-aware augmented reality (AR) technology can mitigate this problem for EFL…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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Chang, You-Hsuan – Computer Assisted Language Learning, 2020
In foreign language learning, computer-mediated dictionaries are among the most popular tools, and ambiguity tolerance (AT) is a key impact factor. However, few studies have focused on the effects of AT on computer-mediated dictionary-assisted English learning. To fill this gap, the current study explored the differences between two groups (a high…
Descriptors: Ambiguity (Semantics), Dictionaries, Second Language Learning, Second Language Instruction
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Sad, Süleyman Nihat; Özer, Niyazi; Yakar, Ümit; Öztürk, Fatih – Computer Assisted Language Learning, 2022
The purpose of this paper is to investigate the views of freshmen on using their smartphones in learning English as a foreign language. The study was designed based on a quantitative associational model. The data were collected from the 428 freshmen attending the English preparation programs run at Inönü and Firat Universities, Turkey, using…
Descriptors: Telecommunications, Second Language Learning, Second Language Instruction, Measures (Individuals)
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