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Ines A. Martin – Language Learning & Technology, 2023
This study investigated how learners' motivation to improve their pronunciation (i.e., pronunciation-focused motivation) influences their L2 pronunciation achievements. This relationship was explored separately in an online (n = 28) and a face-to-face (F2F) (n = 49) learning environment with beginner learners of German. In the online learning…
Descriptors: Pronunciation, Student Motivation, Second Language Learning, Online Courses
Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
Quantifying the Impact of ASR-Based Instruction: What Does the "iSpraak" Platform Learner Data Show?
Dan Nickolai – The EUROCALL Review, 2024
Computer-assisted Pronunciation Training (CAPT) tools have become increasingly dependent on Automatic Speech Recognition (ASR) technology to provide automated corrective pronunciation feedback to learners. The extent to which ASR-based tools measurably improve second language (L2) pronunciation is of great interest to language educators globally,…
Descriptors: Computer Assisted Instruction, Pronunciation, Technology Uses in Education, Second Language Learning
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
Cámara-Arenas, Enrique; Tejedor-García, Cristian; Tomas-Vázquez, Cecilia Judith; Escudero-Mancebo, David – Language Learning & Technology, 2023
This study addresses the issue of automatic pronunciation assessment (APA) and its contribution to the teaching of second language (L2) pronunciation. Several attempts have been made at designing such systems, and some have proven operationally successful. However, the automatic assessment of the pronunciation of short words in segmental…
Descriptors: English (Second Language), Second Language Learning, Pronunciation, Pronunciation Instruction
Agata Guskaroska – ProQuest LLC, 2024
Improving pronunciation in second language (L2) learning requires timely and personalized feedback but educators have limited time to dedicate in the classroom. While there are many educational tools available, educators are still struggling to integrate technology in their practices. To address this challenge, this study explores repurposing a…
Descriptors: Pronunciation, Adoption (Ideas), Second Language Learning, Technology Uses in Education
Richter, Catlin; Bédi, Branislav; Pálsson, Ragnar; Guðnason, Jón – Research-publishing.net, 2022
We are developing a Computer-Assisted Pronunciation Training (CAPT) system for learners of Icelandic as a second and foreign language (L2). Based on pre-designed tasks in pronunciation exercises, this system will provide corrective feedback on learners' speech. One of the main features we are implementing is a new method for automatic…
Descriptors: Indo European Languages, Second Language Instruction, Pronunciation, Computer Assisted Instruction
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
Roslizawati Saad; Harun Baharudin; Nik Mohd Rahimi Nik Yusoff – Educational Process: International Journal, 2025
Background/purpose: A significant challenge in teaching Arabic at the secondary level is developing pronunciation, fluency, and communication. Despite increased use of digital tools in instruction, a gap remains in understanding their effectiveness in improving Arabic speaking skills. This article aims to identify the types of digital teaching…
Descriptors: Educational Technology, Technology Uses in Education, Arabic, Secondary Education
Saleh, Adeleh Jamshidi; Gilakjani, Abbas Pourhosein – Education and Information Technologies, 2021
Computer-assisted pronunciation teaching (CAPT) software has been developed to improve learners' pronunciation. CAPT software helps learners to study independently, selecting what function to use and how often they utilize it. CAPT systems are regarded as a useful tool for pronunciation training for learners, specifically those who feel…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Yandong Zhang; Yongliang Zhang – Education and Information Technologies, 2025
In the digital age, technology-assisted language learning (TALL) has emerged as a pivotal approach to enhancing English linguistic skills among college students. This study explores the effectiveness of TALL innovations in enhancing English linguistic skills among college students. Employing a mixed-methods approach, data were collected through…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Second Language Instruction, English (Second Language)
van Lieshout, Catharina; Cardoso, Walcir – Language Learning & Technology, 2022
This study examined the pedagogical use of Google Translate (GT) and its associated text-to-speech synthesis (TTS) and automatic speech recognition (ASR) as tools to assist in the learning of second/foreign language Dutch vocabulary and pronunciation in an autonomous, self-directed learning setting. Thirty participants used GT (its translation,…
Descriptors: Translation, Computational Linguistics, Independent Study, Vocabulary Skills
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
Kukulska-Hulme, Agnes; Lee, Helen – Research-publishing.net, 2020
Learning a second language is a challenging endeavour which requires various degrees of support. The proliferation of smart technologies includes chatbots and conversational agents which have the potential to 'assist' language learners (Kukulska-Hulme, 2019). However, whilst a growing number of researchers and developers are working on such…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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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