Publication Date
In 2025 | 2 |
Since 2024 | 13 |
Since 2021 (last 5 years) | 42 |
Since 2016 (last 10 years) | 70 |
Since 2006 (last 20 years) | 93 |
Descriptor
Computer Software | 100 |
English (Second Language) | 100 |
Second Language Learning | 83 |
Second Language Instruction | 81 |
Foreign Countries | 72 |
Pronunciation | 62 |
Pronunciation Instruction | 59 |
Teaching Methods | 57 |
Computer Assisted Instruction | 42 |
Speech Communication | 25 |
Student Attitudes | 25 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Practitioners | 2 |
Teachers | 2 |
Location
Taiwan | 9 |
Japan | 7 |
Saudi Arabia | 7 |
Turkey | 7 |
China | 6 |
Iran | 5 |
Indonesia | 4 |
Thailand | 4 |
South Korea | 3 |
Canada | 2 |
France | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 4 |
International English… | 2 |
Test of English for… | 1 |
What Works Clearinghouse Rating
It, Khuselt – International Journal of Web-Based Learning and Teaching Technologies, 2023
Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…
Descriptors: Foreign Countries, Pronunciation Instruction, Artificial Intelligence, English (Second Language)
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
Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
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
John, Paul; Cardoso, Walcir; Johnson, Carol – Research-publishing.net, 2022
This study examines the L2 pronunciation feedback provided by the Automatic Speech Recognition (ASR) functionality in Google Translate (GT). We focus on three Quebec Francophone (QF) errors in English: th-substitution, h-deletion, and h-epenthesis. Four hundred and eighty male and female QF recordings of sentences with correctly and incorrectly…
Descriptors: Second Language Learning, Second Language Instruction, Audio Equipment, Accuracy
Hirata, Saki; Yamada, Masanori – International Association for Development of the Information Society, 2022
Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful…
Descriptors: Vocabulary Development, Audio Equipment, Pronunciation, English (Second Language)
Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
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
Ali Karakas – RELC Journal: A Journal of Language Teaching and Research, 2024
This paper evaluates Voki, a digital platform for creating speaking avatars, in the context of Global Englishes Language Teaching (GELT). It firstly outlines the benefits of using animated characters in online tools to personalize language lessons and engage students. As a web-based application, Voki offers various customization options, including…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Variation
Esra Atalan; Gonca Subasi – Turkish Online Journal of Educational Technology - TOJET, 2023
Developing the ability to pronounce a word clearly is an essential component of oral communication. Hence, the present study aims to examine how the use of Quizlet, a digital flashcard tool, can contribute to enhancing the pronunciation abilities of 9th-grade Turkish EFL students at a state high school in Gaziantep. The study included a total of…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Computer Software
Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
Hsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Sachiko Nakamura; Ryan Spring; Shizuka Sakurai – TESL-EJ, 2024
This study looked at how practically ASR-based interactive video assignments can be integrated into EFL classrooms for additional out-of-class speaking practice, and what effects it will have on students. We created an ASR-based interactive video assignment using Google Scripts and gave it to students as a homework assignment between lessons in…
Descriptors: Foreign Countries, Interactive Video, Teaching Methods, English (Second Language)
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
Black-Rotchin, Sivan; Cardoso, Walcir – Research-publishing.net, 2022
This paper introduces "FineTune," a mobile application currently in development that features a gamified version of High Variability Phonetic Training (HVPT). The aims of this paper are twofold: (1) to outline the theoretical motivation for the app's features, which includes a discussion of HVPT, gamification, and Self-Determination…
Descriptors: Computer Software, Self Determination, Telecommunications, Handheld Devices