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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
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
Jiang, Yan; Chun, Dorothy – Computer Assisted Language Learning, 2023
This paper examines whether a web-based training on English discourse intonation leads to better spontaneous speech quality for Mandarin Chinese speakers who reside in the U.S. and in China. The four-week fully online training consisted of meta-instruction videos as well as listening and speaking activities, including instant visual pitch contour…
Descriptors: Oral Language, Second Language Learning, Second Language Instruction, English (Second Language)
Dai, Yuanjun; Wu, Zhiwei – Computer Assisted Language Learning, 2023
Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether and how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study is to investigate the effectiveness of feedback from peers and/or…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Xie, Ying; Chen, Yan; Ryder, Lan Hui – Computer Assisted Language Learning, 2021
This article reports a mixed-methods study about using virtual reality (VR) tools (Google Cardboard and Expeditions) for developing students' oral proficiency in learning Chinese as a second language. Twelve students role-played as tour guides for six locations throughout a semester: four of them with VR tools and two without. Data collection…
Descriptors: Electronic Learning, Computer Simulation, Foreign Countries, Second Language Learning
Evers, Katerina; Chen, Sufen – Computer Assisted Language Learning, 2022
This study examined the difference in adults' pronunciation performance with peer feedback and individual practice when using an automatic speech recognition (ASR) system. The same ASR software was used in both the comparison (n = 31) and the experimental group (n = 33) for 12 weeks. The participants were working adults in Taiwan. During the…
Descriptors: Automation, Computer Assisted Instruction, Speech Communication, Peer Evaluation
Marwa F. Hafour – Computer Assisted Language Learning, 2024
Owing to the plethora of user-friendly audio/video creation and editing applications as well as free full-featured hosting platforms, videoing and sharing has become a lifestyle of today's students. Utilizing these spontaneous practices, the current study examined the effects of digital media assignments (DMAs) and accompanying asynchronous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Video Technology
Dehghanzadeh, Hojjat; Fardanesh, Hashem; Hatami, Javad; Talaee, Ebrahim; Noroozi, Omid – Computer Assisted Language Learning, 2021
Digital gamification has been argued to be a fun and enjoyable method to support Learning English as a Second Language (LESL) and to ease the gap between students' learning and educational practice. This systematic review presents an overview of the state of the art on the use of gamification for LESL in digital environments. Furthermore, this…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Game Based Learning
Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
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
van Doremalen, Joost; Boves, Lou; Colpaert, Jozef; Cucchiarini, Catia; Strik, Helmer – Computer Assisted Language Learning, 2016
The purpose of this research was to evaluate a prototype of an automatic speech recognition (ASR)-based language learning system that provides feedback on different aspects of speaking performance (pronunciation, morphology and syntax) to students of Dutch as a second language. We carried out usability reviews, expert reviews and user tests to…
Descriptors: Case Studies, Speech, Indo European Languages, Second Language Learning
Sun, Zhong; Lin, Chin-Hsi; You, Jiaxin; Shen, Hai jiao; Qi, Song; Luo, Liming – Computer Assisted Language Learning, 2017
Most students of English as a foreign language (EFL) lack sufficient opportunities to practice their English-speaking skills. However, the recent development of social-networking sites (SNSs) and mobile learning, and especially mobile-assisted language learning, represents new opportunities for these learners to practice speaking English in a…
Descriptors: Social Networks, English (Second Language), Second Language Learning, Grade 1
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)
Wu, Chung-Hsien; Su, Hung-Yu; Liu, Chao-Hong – Computer Assisted Language Learning, 2013
This study presents an efficient approach to personalized mispronunciation detection of Taiwanese-accented English. The main goal of this study was to detect frequently occurring mispronunciation patterns of Taiwanese-accented English instead of scoring English pronunciations directly. The proposed approach quickly identifies personalized…
Descriptors: Pronunciation, Pronunciation Instruction, English (Second Language), Second Language Instruction
Engwall, Olov – Computer Assisted Language Learning, 2012
Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…
Descriptors: Feedback (Response), Phonetics, Pronunciation, Computer Assisted Instruction
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