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Showing 1 to 15 of 31 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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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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Mark Feng Teng – Computer Assisted Language Learning, 2025
The present study aims to examine incidental vocabulary learning from different genres of captioned videos while considering frequency, vocabulary knowledge, comprehension, and working memory. A total of 210 learners who learn English as a foreign language (EFL) were assigned to 6 treatment conditions that differed in terms of video genres…
Descriptors: Incidental Learning, Vocabulary Development, Recall (Psychology), Second Language Learning
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Jun Lei; Qian Zhang – Computer Assisted Language Learning, 2025
This article reports on the results of an investigation into what matters to learners of language Massive Open Online Courses (LMOOCs). The study conducted content and sentiment analyses of learner reviews of LMOOCs to investigate the key themes/subthemes in learner reviews and learners' emotional tendencies in the themes/subthemes as well as…
Descriptors: MOOCs, Second Language Instruction, Second Language Learning, College Students
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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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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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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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