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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
Marta Gràcia; Jesús M. Alvarado; Fàtima Vega; Maria Josep Jarque; Pamela Castillo; Ana Luisa Adam-Alcocer – Computer Assisted Language Learning, 2025
Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology;…
Descriptors: Oral Language, Faculty Development, Language Teachers, Second Language Instruction
Hellmich, Emily A. – Computer Assisted Language Learning, 2021
Recent calls from applied linguistics and from CALL have emphasized the importance of situating the understanding and use of digital tools for language learning within layered contexts. An important component of these layered contexts is societal discourses of technology, which are multiple and far from neutral. In response to these calls, this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Student Attitudes
Tecedor, Marta; Perez, Alejandro – Computer Assisted Language Learning, 2021
This manuscript contributes to the existing body of literature on learner training in computer-enhanced learning environments by examining how students conceptualize and experience their roles as learners in flipped Spanish courses and how these interpretations shape their behaviors and beliefs about learning under this new instructional approach.…
Descriptors: Flipped Classroom, Computer Assisted Instruction, Spanish, Second Language Learning
Bai, Barry; Wang, Jing; Zhou, Huixuan – Computer Assisted Language Learning, 2022
The present study reports on the effects of a self-regulated (SRL) writing strategy-based intervention supported with e-learning tools on SRL strategy use in English writing with 468 Hong Kong primary school students. The changes to the students' motivation in English writing, and their e-learning acceptance were also measured. The study adopted a…
Descriptors: Metacognition, Writing Instruction, Elementary School Students, Intervention
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
Lee, Cynthia – Computer Assisted Language Learning, 2022
Human perceptions influence attitudes and intentions, and can predict actions. Despite the popular use of technology for English language teaching, and the association between learner factors and technology use, little is known about language learners' use of technology for personal and interpersonal learning activities, and whether there is a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Technology Uses in Education
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
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Lin, Jen-Jiun; Lin, Huifen – Computer Assisted Language Learning, 2019
Mobile-assisted language learning (MALL) has been a popular research area in recent years in the SLA field, as it has been considered as being able to facilitate language learning by offering an authentic, socially connective, contextually sensitive, and personalized mobile-mediated language learning environment. To investigate the benefits and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Ballance, Oliver James – Computer Assisted Language Learning, 2017
One of the most promising avenues of research in computer-assisted language learning is the potential for language learners to make use of language corpora. However, using a corpus requires use of a corpus tool as an interface, typically a concordancer. How such a tool can be made most accessible to learners is an important issue. Specifically,…
Descriptors: Teaching Methods, Indexes, Multivariate Analysis, Classification
Chen, Julian ChengChiang – Computer Assisted Language Learning, 2018
Driven by interactionist theory and operationalized by task-based interaction, this study aims to investigate EFL learners' task-based negotiation in Second Life (SL), a 3D multi-user virtual environment (MUVE). A group of adult EFL learners with diverse cultural/linguistic backgrounds in L1 participated in this task-based virtual class. Learners…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis