Can Apple's iPhone Help to Improve English Pronunciation Autonomously? State of the App

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Language: English

© 2012


This paper is part of a larger project that examines some of the best-selling iPhone apps designed to learn English pronunciation. Informed by the literature on pronunciation teaching/acquisition, Computer Assisted Pronunciation Teaching (CAPT), Computer Assisted Language Learning (CALL) and Mobile-learning (M-learning), it provides a critical evaluation of the strengths and limitations of iPhone apps designed to improve the user's English pronunciation autonomously. The language learning potential of the apps is weighed up, appraising the aspects of pronunciation addressed by each app (individual phonemes, stress, intonation, et cetera). The paper concludes that iPhone apps have a great potential to practise and improve certain aspects of English pronunciation, such as sound discrimination, the learning of English phonemes, or the pronunciation of individual words, and it explores prospective improvement of existing apps in the future. The paper identifies feedback as one of the main limitations of current apps, while acknowledging that these limitations could be overcome relatively easily with existent technology. It also shows directions for future development of iPhone apps for pronunciation teaching so far neglected, such as the teaching of suprasegmental features or communicative practice.

Keywords: English pronunciation, m-learning, language learning, computer assisted language learning, computer assisted pronunciation teaching, mobile phone applications.


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Fouz González, Jonás. (2012). Can Apple's iPhone Help to Improve English Pronunciation Autonomously? State of the App. In Linda Bradley, Sylvie Thouësny (Eds), CALL: Using, Learning, Knowing, EUROCALL Conference, Gothenburg, Sweden, 22-25 August 2012, Proceedings (pp. 81-87).

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