The Pedagogy-Technology Interface in Computer Assisted Pronunciation Training

Neri, Ambra; Cucchiarini, Catia; Strik, Helmer; Boves, L.W.J.

doi:10.1076/call.15.5.441.13473

Cited by 163 publications

(124 citation statements)

References 67 publications

(64 reference statements)

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“…If too many errors are presented to learners at the same time, learners may get confused and discouraged. Therefore, the PD proposed in this paper can be used to help us grade the severity of errors [12] .…”

Section: Gradation Of Mispronunciations In L2 (English) Learningmentioning

confidence: 99%

Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception

Jia

Leung

et al. 2014

J. Comput. Sci. Technol.

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Computer-aided pronunciation training (CAPT) technologies enable the use of automatic speech recognition to detect mispronunciations in second language (L2) learners' speech. In order to further facilitate learning, we aim to develop a principle-based method for generating a gradation of the severity of mispronunciations. This paper presents an approach towards gradation that is motivated by auditory perception. We have developed a computational method for generating a perceptual distance (PD) between two spoken phonemes. This is used to compute the auditory confusion of native language (L1). PD is found to correlate well with the mispronunciations detected in CAPT system for Chinese learners of English, i.e., L1 being Chinese (Mandarin and Cantonese) and L2 being US English. The results show that auditory confusion is indicative of pronunciation confusions in L2 learning. PD can also be used to help us grade the severity of errors (i.e., mispronunciations that confuse more distant phonemes are more severe) and accordingly prioritize the order of corrective feedback generated for the learners.

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Section: Gradation Of Mispronunciations In L2 (English) Learningmentioning

confidence: 99%

Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception

Jia

Leung

et al. 2014

J. Comput. Sci. Technol.

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“…Computer Assisted Pronunciation Teaching provides learners with private and stress-free practice with individualized and immediate feedback on pronunciation. Many pronunciation teachers use Internet-based materials to teach pronunciation instead of using traditionally printed materials like course information, lecture notes, exercises, and quizzes (Neri, Cucchiarini, Strik, & Boves, 2002). Hişmanoğlu (2010) emphasized that teachers can give pronunciation materials to students through the electronic means by changing the way in which students receive phonological input.…”

Section: Role Of Computer Technology In English Pronunciation Instrucmentioning

confidence: 99%

Change of Iranian EFL Teachers’ Traditional Pedagogical Methods through Using Pronunciation Power Software in the Instruction of English Pronunciation

Gilakjani¹,

Sabouri²

2014

ELT

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The use of computer technology in learning and teaching has been studied by many studies but less research has been conducted for understanding users' feeling toward it and how this technology helps teachers develop their teaching methods. One of the computer technologies for the instruction of English pronunciation is Pronunciation Power software. This study examined the change of Iranian EFL teachers' traditional pedagogical methods in the use of Pronunciation Power software in teaching pronunciation. Qualitative method was used by the researchers. It involved semi-structured interview questions with a volunteer sample of four teachers from an open university in Iran. The researchers answered the research question related to the change of Iranian EFL teachers' traditional pedagogical methods toward using this software in teaching pronunciation. According to the findings obtained from the study, use of Pronunciation Power software by Iranian EFL teachers changed their traditional pedagogical methods. This change of teaching methods gave them more opportunities in the instruction of pronunciation.

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“…Previously many studies dealt with the role of computer softwares on: pronunciation training (e.g. Neri, Cucchiarini, Strik, & Boves, 2002), vocabulary teaching (e.g. Ma & Kelly, 2006) and learning through games (e.g.…”

Section: Computer Assisted Language Learningmentioning

confidence: 99%

A Seamless Learning Design for Mobile Assisted Language Learning: An Iranian Context

Foomani¹,

Hedayati²

2016

ELT

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Recent developments in information communication technology (ICT) have resulted in a paradigm shift in e-Learning and there is a growing interest in developing design-based research (DBR) focusing on learners and their involvement in knowledge sharing in a contextualized mode. The present study reports a mobile-assisted language learning (MALL) design with a focus on contextualized student-created content having a seamless learning approach. The students in this study (N= 24) used their mobile devices to take photos and create artifacts to represent English idioms and share them on Padlets with their peers for further discussion and feedback. In the first four weeks of the study, students were taught English idioms and in the following next two weeks they created and shared their own artifacts to represent the learnt idioms. The post-study reflections and results of the interviews and obtained from students and the teacher at the end of study revealed that they favor and support greater learner autonomy achieved by learner-generated context (LGC) which bridges the in-classroom and out-of-classroom learning. The article also highlights the necessity of reconceptualization of teachers and students' perceptions of mobile use in language learning in Iran.

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The Pedagogy-Technology Interface in Computer Assisted Pronunciation Training

Cited by 163 publications

References 67 publications

Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception

Grading the Severity of Mispronunciations in CAPT Based on Statistical Analysis and Computational Speech Perception

Change of Iranian EFL Teachers’ Traditional Pedagogical Methods through Using Pronunciation Power Software in the Instruction of English Pronunciation

A Seamless Learning Design for Mobile Assisted Language Learning: An Iranian Context

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