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Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
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Muzakki Bashori; Roeland van Hout; Helmer Strik; Catia Cucchiarini – Computer Assisted Language Learning, 2024
Speaking skills generally receive little attention in traditional English as a Foreign Language (EFL) classrooms, and this is especially the case in secondary education in Indonesia. A vocabulary deficit and poor pronunciation skills hinder learners in their efforts to improve speaking proficiency. In the present study, we investigated the effects…
Descriptors: Computer Assisted Instruction, Teaching Methods, Audio Equipment, Video Technology
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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Kruk, Mariusz; Pawlak, Miroslaw – Computer Assisted Language Learning, 2023
The paper presents the results of a quasi-experimental study which was conducted with a view to determining the effect of an intervention in the form of the application of teacher-designed Internet-based resources (i.e., websites, podcasts, movie clips) that students could use autonomously on the development of pronunciation of the English regular…
Descriptors: Pronunciation Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
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Tsai, Pi-hua – Computer Assisted Language Learning, 2019
In foreign language education, instruction in pronunciation has received less attention than instruction in other language skills. Many teachers do not know how to teach correct pronunciation due to lack of knowledge in pronunciation pedagogy even if they want to or they assume that students pick it up on their own. With the development of…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Cooperative Learning, Second Language Instruction
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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
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Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
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Amrate, Moustafa – Computer Assisted Language Learning, 2022
This study explores collaborative and individual computer-assisted prosody training (CAPT) through a quasi-experimental design. Eighteen adult Algerian EFL learners were recruited and randomly assigned into a control group receiving no treatment and two experimental groups, a collaborative CAPT group where the participants practiced in pairs, and…
Descriptors: Foreign Countries, Intonation, Suprasegmentals, Pronunciation Instruction
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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
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Bibauw, Serge; François, Thomas; Desmet, Piet – Computer Assisted Language Learning, 2019
This article presents the results of a systematic review of the literature on dialogue-based CALL, resulting in a conceptual framework for research on the matter. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied from various perspectives and under different names (dialogue systems,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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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
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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
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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
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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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Luo, Beate – Computer Assisted Language Learning, 2016
This study investigates a computer-assisted pronunciation training (CAPT) technique that combines oral reading with peer review to improve pronunciation of Taiwanese English major students. In addition to traditional in-class instruction, students were given a short passage every week along with a recording of the respective text, read by a native…
Descriptors: Computer Assisted Instruction, Pronunciation, Second Language Instruction, Peer Evaluation
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