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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
Alhamami, Munassir – Computer Assisted Language Learning, 2018
This mixed-methods study investigates language learners' intention to attend a class and learn a foreign language in face-to-face and online settings using Ajzen's theory of planned behavior (TPB). The data were collected using interviews, questionnaires, and treatments with participants in two groups: a face-to-face language learning (FLL) group…
Descriptors: Second Language Learning, Second Language Instruction, Online Courses, Interviews
Bodnar, Stephen; Cucchiarini, Catia; Penning de Vries, Bart; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2017
Although corrective feedback (CF) has received much interest in the second language acquisition literature, relatively little research has investigated the relationship between CF and learner affect in concrete practice situations. The present study investigates learners' affective states and practice behaviour in a novel context: oral grammar…
Descriptors: Computer Assisted Instruction, Teaching Methods, Feedback (Response), Second Language Learning
Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2017
Students of Southeast Asian Heritage Learning Chinese (SSAHLC) in Taiwan have frequently demonstrated difficulty with traditional Chinese (a graphical character) radical recognition due to their limited exposure to the written language form since childhood. In this study, we designed a Chinese radical learning game (CRLG), which adopted a drill…
Descriptors: Motivation, Electronic Learning, Self Efficacy, Academic Achievement
Fouz-González, Jonás – Computer Assisted Language Learning, 2017
This paper presents the results of a study aimed at exploring the possibilities Twitter offers for pronunciation instruction. It investigates the potential of a Twitter-based approach based on explicit instruction and input enhancement techniques to help English Foreing Language (EFL) learners improve their pronunciation of segmental and…
Descriptors: Pronunciation, Social Media, Teaching Methods, English (Second Language)
Montero Perez, Maribel; Peters, Elke; Desmet, Piet – Computer Assisted Language Learning, 2018
While most studies on L2 vocabulary learning through input have addressed learners' vocabulary uptake from written text, this study focuses on audio-visual input. In particular, we investigate the effects of enhancing video by (1) adding different types of L2 subtitling (i.e. no captioning, full captioning, keyword captioning, and glossed keyword…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Linguistic Input
Chang, Jia-Wei; Lee, Ming-Che; Su, Chien-Yuan; Wang, Tzone-I – Computer Assisted Language Learning, 2017
Chinese as a foreign language (CFL) learners generally encounter difficulty in using some special rules of Chinese grammar because such grammar points do not exist in their native languages. CFL learners require an effective learning strategy to assist them in acquiring a greater understanding of Chinese grammar. Thus, we integrated a…
Descriptors: Web Based Instruction, Chinese, Grammar, Sentence Structure
Ma, Qing – Computer Assisted Language Learning, 2017
Emerging mobile technologies can be considered a new form of social and cultural artefact that mediates people's language learning. This multi-case study investigates how mobile technologies mediate a group of Hong Kong university students' L2 learning, which serves as a lens with which to capture the personalised, unique, contextual and…
Descriptors: Telecommunications, Educational Technology, College Students, Case Studies
Xu, Qi; Peng, Hongying – Computer Assisted Language Learning, 2017
This article reports on an exploratory study investigating mobile-assisted oral feedback in teaching Chinese as a second language (CSL). It is aimed at exploring the characteristics of mobile-assisted feedback on oral production with the smartphone social communication app WeChat as a case in point and examining learners' perceptions of…
Descriptors: Oral Language, Feedback (Response), Chinese, Second Language Learning
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2017
This study reports on investigating students' English translation performance and their use of reading strategies in an elective English writing course offered to senior students of English as a Foreign Language for 100 minutes per week for 12 weeks. A courseware-implemented instruction combined with a task-based learning approach was adopted.…
Descriptors: Foreign Countries, College Students, Technical Institutes, Second Language Learning
Tseng, Jun-Jie – Computer Assisted Language Learning, 2018
Technological pedagogical content knowledge (TPACK) proposed by Mishra and Koehler is a theoretical construct of teacher knowledge that describes how teachers teach subject matter content using certain instructional methods with specific technology in particular contexts. This study aims to explore the interface between TPACK and SLA, intending to…
Descriptors: Second Language Learning, Second Language Instruction, Language Teachers, Pedagogical Content Knowledge
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
Yang, Xianmin; Guo, Xiaoshan; Yu, Shengquan – Computer Assisted Language Learning, 2016
Translation instruction is very important in specialized English teaching activities. The effectiveness of current specialized English translation instruction (SETI) in mainland China, however, is unclear because university students have become less interested in, and less confident when doing, English translation. This study investigated the…
Descriptors: Translation, Self Efficacy, English (Second Language), Second Language Learning
Roy, Debopriyo; Brine, John; Murasawa, Fuyuki – Computer Assisted Language Learning, 2016
The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…
Descriptors: Foreign Countries, Usability, English (Second Language), Second Language Learning