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Showing 1 to 15 of 21 results Save | Export
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Sri Yuliani; Khulaifiyah; Andi Idayani – Pegem Journal of Education and Instruction, 2024
The Objective of the study was to ascertain how Rosetta Stone in English class affected students' ability to pronounce English. This methodology employed a quasi-experimental pretest-posttest design with 30 samples split into two groups. The technique used was non-probability sampling. Pronunciation test technique was employed for data collecting.…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Pronunciation Instruction
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Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
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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
Grace Hui Chin Lin – Online Submission, 2024
This research was conducted in a National University of western part in Taiwan. It guided students to select language learning games of language learning (Amur et al. (2024; Huang & Liaw, 2021; Srinivasan & Reddy 2023) on Facebook or other websites to improve English Language proficiencies in listening, speaking reading and writing. Below…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Moxon, Simon – IAFOR Journal of Education, 2021
A significant barrier to effective communication in a second language is the awareness and accurate reproduction of phonetic sounds absent in the mother tongue. This study investigated whether the automated evaluation of phonetic accuracy using speech recognition technology could improve the pronunciation skills of 105 (88 female, 17 male) Thai…
Descriptors: Automation, Computer Software, Computer Interfaces, Speech Communication
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Osatananda, Varisa; Thinchan, Wipawan – LEARN Journal: Language Education and Acquisition Research Network, 2021
Praat is a freeware program widely used by phoneticians for acoustic analyses of speech sounds, though less commonly so for pedagogical purposes. To our knowledge, no research on English pronunciation teaching has used Praat outside a classroom setting. In this article, we would like to report on a voluntary pronunciation-training project and…
Descriptors: Computer Software, Acoustics, Speech Communication, Teaching Methods
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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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Xiao, Wenqi; Park, Moonyoung – International Journal of Computer-Assisted Language Learning and Teaching, 2021
With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English…
Descriptors: Automation, Computer Software, Handheld Devices, Diagnostic Tests
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Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
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Lodzikowski, Kacper – Language Learning & Technology, 2021
This is the first paper that provides correlational evidence about how interacting with an online allophonic transcription tool helps learners of English as a Second Language (ESL) to improve their phonological awareness. The study investigates 55 advanced ESL learners at a Polish university enrolled in a course in English phonetics and phonology.…
Descriptors: Correlation, Phonological Awareness, Scores, Second Language Learning
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Bakla, Arif – ReCALL, 2019
Despite their potential benefits, teacher-created animated cartoons have not found much room in second-language (L2) research, probably due to some technical challenges involved in creating them. This paper reports the findings of a mixed-methods embedded experimental study, designed to test the impact of tailor-made animated cartoons on the…
Descriptors: Cartoons, Teaching Methods, Pronunciation Instruction, English (Second Language)
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Yürük, Nurcihan – Journal of Language and Linguistic Studies, 2020
Pronunciation is one of the main problems in language teaching and learning and it gets little attention. Most of students underestimate the importance of pronunciation considering that pronunciation is less important than other aspects of language. Many researchers investigated the weakness of pronunciation among students in all stages. However,…
Descriptors: Skill Development, Pronunciation Instruction, Computer Software, Pretests Posttests
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Sidgi, Lina Fathi Sidig; Shaari, Ahmad Jelani – Advances in Language and Literary Studies, 2017
The use of technology, such as computer-assisted language learning (CALL), is used in teaching and learning in the foreign language classrooms where it is most needed. One promising emerging technology that supports language learning is automatic speech recognition (ASR). Integrating such technology, especially in the instruction of pronunciation…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
Hill, Jennifer Rose – ProQuest LLC, 2018
A 2014 study found that more than half of all Americans aged 16-74 do not possess the literacy skills needed to adequately cope with the demands of day-to-day life, with over 13 million people in the United States alone considered to be functionally illiterate. There have been numerous efforts to address these high illiteracy rates by way of Adult…
Descriptors: Phonetics, Literacy Education, Adult Education, Teaching Methods
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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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