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Direct linkZhi Quan; Lynn Grant; Darryl Hocking – Computer Assisted Language Learning, 2024
As a corpus-assisted method for language pedagogy, DDL (data-driven learning) may have the potential to enhance language exposure and promote active learner engagement. Concordancing, or KWIC (Key Words in Context), has been the traditional method used in DDL to retrieve numerous language examples, while the method has limitations with…
Descriptors: Language Patterns, Language Usage, Second Language Learning, English (Second Language)
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Nazari, Mostafa; Xodabande, Ismail – Computer Assisted Language Learning, 2022
Mobile phones are turning into a growingly widespread educational tool across various contexts. However, the scope of research on teachers' role in mobile-oriented instruction is limited, much less examining how professional development influences their associated beliefs and practices. Grounded in sociocultural theory, this study aimed to fill…
Descriptors: Faculty Development, Teacher Attitudes, Telecommunications, Handheld Devices
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
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
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
Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Galip Kartal – Computer Assisted Language Learning, 2024
The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning
Wu, Mei-Hung – Computer Assisted Language Learning, 2021
The rise of augmented reality hits the world of Information, Communication and Technology which brings about the booming phenomenon of mobile games. One of hot mobile game with the successful application of augmented reality is "Pokémon Go," issued in August 2016. The uses of augmented reality not only give the gamers a new kind…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Computer Games
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
Lin, Chih-Chung; Lin, Vivien; Liu, Gi-Zen; Kou, Xiaojing; Kulikova, Alena; Lin, Wenling – Computer Assisted Language Learning, 2020
Little review research has been conducted to describe the interaction and inter-relationships among components of reading development facilitated through mobile assisted language learning (MALL). The language learners, mediation via mobile devices, learning context, learning material and tasks, and learning outcomes need to be carefully examined…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Educational Technology
Lim, Mei Hui; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
This study sought to examine research trends in computer-assisted language learning (CALL) using a retrospective scientometric approach. Scopus was used to search for relevant publications on the topic and generate a dataset consisting of 3,697 studies published in 11 journals between 1977 and 2020. A document co-citation analysis method was…
Descriptors: Trend Analysis, Research Reports, Computer Assisted Instruction, Teaching Methods
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
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
