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Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Amal Aljasser – Journal of Computer Assisted Learning, 2024
Background study: Computer-assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, 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
Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
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
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
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
Marina Ivanova – The EUROCALL Review, 2024
Word stress is frequently afforded secondary importance in English teaching as stress placement rules are complex and because stress can be learnt along with each new word. However, training learners to pay more attention to word stress cues can support them in predicting the stress patterns of new vocabulary. Also, for speakers of fixed stress…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Pronunciation Instruction
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
Chen, Fei; Xia, Quansheng; Feng, Yan; Wang, Lan; Peng, Gang – Journal of Computer Assisted Learning, 2023
Background: Teaching Mandarin as a second language (L2) has become an important profession and an important research area. The acquisition of unaspirated and aspirated consonants in Mandarin has been reported to be rather challenging for L2 learners. Objectives: In the current study, a 3-D airflow model was integrated into the virtual talking head…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Mandarin Chinese, Models
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Kruk, Mariusz; Pawlak, Miroslaw – Computer Assisted Language Learning, 2023
The paper presents the results of a quasi-experimental study which was conducted with a view to determining the effect of an intervention in the form of the application of teacher-designed Internet-based resources (i.e., websites, podcasts, movie clips) that students could use autonomously on the development of pronunciation of the English regular…
Descriptors: Pronunciation Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
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
Mahdi, Hassan Saleh; Al Khateeb, Ahmed Abdulateef – Review of Education, 2019
Computers are used in almost all aspects of language learning and have also created numerous opportunities in this area. This study aims to examine the overall effectiveness of using a computer in pronunciation learning and training. A meta-analysis of studies was conducted, which compared the outcomes of students learning the pronunciation of a…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Second Language Learning, Second Language Instruction
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
Carlos Andres Rojas – ProQuest LLC, 2022
The present study explored perceptual and articulatory techniques addressing the pronunciation of Spanish rhotics by means of a week-long computerized training. Through a quasi-experimental design approach, the study tested the utility of the online training and its effects on the phonetic production of taps [voiced alveolar tap or flap] and…
Descriptors: Computer Assisted Instruction, Spanish, Second Language Learning, Second Language Instruction