Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 17 |
Since 2016 (last 10 years) | 31 |
Since 2006 (last 20 years) | 39 |
Descriptor
Computer Assisted Instruction | 49 |
Computer Software | 49 |
Pronunciation Instruction | 49 |
Second Language Instruction | 43 |
Second Language Learning | 42 |
Teaching Methods | 34 |
English (Second Language) | 30 |
Foreign Countries | 29 |
Pronunciation | 16 |
Instructional Effectiveness | 14 |
Speech Communication | 12 |
More ▼ |
Source
Author
Publication Type
Education Level
Higher Education | 21 |
Postsecondary Education | 21 |
Secondary Education | 4 |
Adult Education | 3 |
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Grade 9 | 1 |
High Schools | 1 |
Audience
Teachers | 4 |
Practitioners | 3 |
Policymakers | 1 |
Students | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
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
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
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
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
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
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
Kochem, Tim; Beck, Jeanne; Goodale, Erik – CALICO Journal, 2022
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…
Descriptors: Computer Software, Teaching Methods, Audio Equipment, Computer Assisted Instruction
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
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
Henrichsen, Lynn E. – RELC Journal: A Journal of Language Teaching and Research, 2021
Computer-assisted pronunciation teaching (CAPT) for second-language learners has made great strides in recent years. While once small in number and confined to desktop computers, a great variety of CAPT resources are available online today. These resources provide instructional activities of various types, utilize different sensory modalities, and…
Descriptors: Taxonomy, Teaching Methods, Computer Assisted Instruction, Second Language Learning
Chanpeng, Pantipa – Asian Journal of Education and Training, 2022
This research aimed to (1) develop and measure the efficiency of a set of reading and pronunciation skills in Chinese phonetics via Seesaw online classroom; (2) examine the effectiveness of the set; and (3) evaluate students' satisfaction with practice packages on Chinese pronunciation via Seesaw online classroom. Thirty-six undergraduate students…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation Instruction, Student Attitudes
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)
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
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
Gilakjani, Abbas Pourhosein; Sheikhy, Reihaneh; Montashery, Iraj; Alizadeh, Mitra – International Journal of Instruction, 2019
This mixed study investigates the attitudes teachers in English institutes have about computer pronunciation software in teaching English pronunciation. Pronunciation Power 2 was used for this purpose. First, a survey was used as the quantitative method. 55 teachers from 5 English institutes took part in this research and these institutes were…
Descriptors: Pronunciation Instruction, Language Teachers, Teacher Attitudes, English (Second Language)