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María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
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Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
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Lan, En-Minh – Education and Information Technologies, 2022
English pronunciation training for real-world communication tasks is crucial in EFL learning because it is essential to learners' listening comprehension and speaking competence. As the e-generation emerges, computer-assisted pronunciation training (CAPT) has begun to receive more recognition in academic institutions for pronunciation learning.…
Descriptors: Foreign Countries, College Students, Computer Assisted Instruction, Pronunciation Instruction
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Mohsen, Mohammed Ali; Mahdi, Hassan Saleh – Journal of Computing in Higher Education, 2021
Video captioning has been investigated extensively in the Computer-Assisted Language Learning (CALL) literature to aid second language vocabulary acquisition. However, a little is known about how video captioning could foster learners' pronunciation, which is a component of second language vocabulary acquisition proposed by Nation (Nation,…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, English (Second Language)
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Ghoorchaei, Behrooz; Rahmani, Masoomeh – Asian Journal of University Education, 2018
Pronunciation has always been one of the most difficult parts of language learning. Since Computer Assisted Language Learning (CALL) seeks to make language learning easier, it can be found quite effective and helpful in teaching and learning pronunciation. So the present study aims at investigating the effect of using General English Training…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Learning Motivation
McCrocklin, Shannon – CALICO Journal, 2019
Although early ASR-based dictation programs were criticized for lack of accuracy and explicit feedback for L2 pronunciation practice, teachers and researchers have shown renewed interest. However, little is known about student reactions to ASRbased dictation practice. This qualitative study examines student perspectives, identifying advantages and…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, Student Attitudes
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Martin, Ines A. – Language Learning & Technology, 2020
The goal of this study was to explore how distance language learners' pronunciation skills develop with and without targeted pronunciation training during their first semester of university language instruction. To this end, a new computer-assisted method of pronunciation instruction was designed, and its effectiveness, as well as learners'…
Descriptors: Pronunciation, Distance Education, Second Language Instruction, Teaching Methods
Safavi, Setareh – ProQuest LLC, 2018
This study investigated a computer-assisted pronunciation training (CAPT) software that utilized automatic speech recognition (ASR) and accent conversion technology to improve pronunciation of second language learners. Such speech processing method is capable of addressing the typical shortcoming of ASR technology for second language pronunciation…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Audio Equipment, Second Language Learning
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Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Chujo, Junko – Research-publishing.net, 2021
This research aimed to investigate the effects of pronunciation monitoring on learners' affective factors through self-monitoring activities using speech recognition systems. The effect of a specifically designed pronunciation activity for Japanese university students was analyzed. The worksheet form of the activity was based on the use of speech…
Descriptors: Audio Equipment, Pronunciation Instruction, Teaching Methods, Learning Motivation
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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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Ericsson, Elin; Sofkova Hashemi, Sylvana; Lundin, Johan – Cogent Education, 2023
Speaking in a foreign language is considered challenging to both teach and learn. Virtual humans (VHs), as conversational agents (CAs), provide opportunities to practise speaking skills. Lower secondary school students (N = 25) engaged in an AI-based spoken dialogue system (SDS) and interacted verbally with VHs in simulated everyday-life scenarios…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Taylor, Pimsiri; Argasvipart, Krinnapat; Kanokpermpoon, Monthon; Rattanawisadrat, Noppadol; Dyamond, Brendan Jack; Hrylytskyy, Anton – LEARN Journal: Language Education and Acquisition Research Network, 2023
This study was derived as part of collaborative projects between the Language Institute Thammasat University and Microsoft Thailand with an objective to empower English language educators and learners with innovative technologies. The aim of the study was to explore stakeholders' perceptions related to technology acceptance of "Reading…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Sidgi, Lina Fathi Sidig; Shaari, Ahmad Jelani – Advances in Language and Literary Studies, 2017
The present study focuses on determining whether automatic speech recognition (ASR) technology is reliable for improving English pronunciation to Iraqi EFL students. Non-native learners of English are generally concerned about improving their pronunciation skills, and Iraqi students face difficulties in pronouncing English sounds that are not…
Descriptors: Computer Software, English (Second Language), Second Language 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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