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Yi-Fan Li; Jue-Qi Guan; Xiao-Feng Wang; Qu Chen; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Self-regulated learning (SRL) is a predictive variable in students' academic performance, especially in virtual reality (VR) environments, which lack monitoring and control. However, current research on VR encounters challenges in effective interventions of cognitive and affective regulation, and visualising the SRL processes using…
Descriptors: Electronic Learning, Individualized Instruction, Learning Processes, Performance
Ke Xu; Xin Guo; Xinjing Zhang; Yi Zhang; Zhongling Pi; Jiumin Yang – Journal of Computer Assisted Learning, 2025
Background: Previous studies have indicated that encouraging learners to teach to their peers has been proven effective in second language learning. However, to date, no research has focused on how learners teaching to peers of varying proficiency levels impacts video learning performance and the cognitive neuroscience mechanisms of learners.…
Descriptors: Peer Teaching, Second Language Learning, Video Technology, Electronic Learning
Mengdi Li; Yinyu Wang; Xiaorong Yang – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate which moderating variables affect learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Second Language Learning
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Hung, Hsiu-Ting; Yeh, Hui-Chin – Journal of Computer Assisted Learning, 2023
Background: As the concept of flipped classrooms continues to gain interest across disciplines, more research is needed to strengthen the instructional design by integrating active learning strategies and emerging technologies. Among various possibilities, little is known about how game-based learning combined with Augmented Reality (AR) can be…
Descriptors: Computer Simulation, Game Based Learning, Flipped Classroom, English (Second Language)
Fuhrman, Orly; Eckerling, Anabel; Friedmann, Naama; Tarrasch, Ricardo; Raz, Gal – Journal of Computer Assisted Learning, 2021
A challenging aspect of foreign language acquisition is learning new vocabulary. Research has demonstrated the benefits of motor action to vocabulary learning, though these findings are rarely translated into teaching and learning practices. In this work, we present a novel paradigm for vocabulary learning in a virtual reality environment,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Recall (Psychology)
Lee, Yuan-Hsuan – Journal of Computer Assisted Learning, 2023
Background: Implementing English medium instruction (EMI) has become a proliferating measure in higher education to embrace globalization. Nevertheless, university students reported various challenges in taking EMI courses. Objectives: This study investigated the effect of the computer-mediated terminology pretraining on university students' EMI…
Descriptors: Teaching Methods, Language of Instruction, Comparative Analysis, English (Second Language)
Rustam Shadiev; Xuan Chen; Fahriye Altinay – Journal of Computer Assisted Learning, 2024
Background: Our study analysed 46 articles on computer-aided translation (CAT) and its educational uses. We explored two main areas: CAT technologies in learning and teaching, and the research methodologies of these studies. Objectives: Our review covered the types of CAT technologies used, their applications in different learning settings,…
Descriptors: Translation, College Students, Computer Assisted Instruction, Computer Software Evaluation
Teng, Mark Feng – Journal of Computer Assisted Learning, 2023
Background: Despite the potential of captioned videos, limited attention has been paid to the role of vocabulary knowledge (VK) and working memory (WM) in incidental vocabulary learning under different captioning conditions. Objectives: The present study aimed to bridge this gap by assessing VK and WM in incidental vocabulary learning under…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Development, Video Technology
Leeuwestein, Hanneke; Barking, Marie; Sodaci, Hande; Oudgenoeg-Paz, Ora; Verhagen, Josje; Vogt, Paul; Aarts, Rian; Spit, Sybren; de Haas, Mirjam; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
Providing first language (L1) translations in L2 vocabulary interventions may be beneficial for L2 vocabulary learning. However, in linguistically diverse L2 classrooms, teachers cannot provide L1 translations to all children. Social robots do offer such opportunities, as they can be programmed to speak any combination of languages. This study…
Descriptors: Native Language, Translation, Second Language Learning, Vocabulary Development
Gwo-Jen Hwang; Jalil Fathi; Masoud Rahimi – Journal of Computer Assisted Learning, 2025
Background: The utilisation of video-dubbing tasks, wherein learners record their voices over video clips to practise pronunciation, fluency, grammatical accuracy, and vocabulary use, is relatively novel in the English language learning context. Exploring the effectiveness of video-dubbing tasks can lead to more innovative and effective speaking…
Descriptors: English (Second Language), Second Language Learning, Speech Skills, Cognitive Processes
Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
Yang, Jie Chi; Chung, Ching-Jung; Chen, Mei-Shan – Journal of Computer Assisted Learning, 2022
Background: Performance goal orientations are influential motivational factors for predicting learning performance. However, a lack of attention has been paid to investigating the effects of performance goal orientations on learning performance and in-game performance in the context of digital game-based learning. Objectives: This study…
Descriptors: Educational Games, Game Based Learning, Academic Achievement, Goal Orientation
Kurt, M.; Bensen, H. – Journal of Computer Assisted Learning, 2017
This paper moves away from reminiscent mechanical repetition and drills, which were in vogue when teaching vocabulary before the rise of technology. With the support of technology, innovative methodologies that are more effective and enjoyable can be implemented into vocabulary teaching. In this particular context, there seems to be a lack of…
Descriptors: Visualization, Technology Integration, Vocabulary Development, Video Technology
Çetinkaya, Levent; Sütçü, Selim Soner – Journal of Computer Assisted Learning, 2018
The purpose of this study is to determine the effects of Facebook and WhatsApp on success in English vocabulary instruction and the learners' opinions about the implementation process. In the study, mixed method model, which combines both quantitative and qualitative data, was used. The success of the students in Facebook, WhatsApp, and control…
Descriptors: Social Media, Computer Mediated Communication, Computer Software, Vocabulary Development
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