Pronunciation learning strategies, aptitude, and their relationship with pronunciation performance in pre-service English language teachers in Chile
Autor: | Mauricio Véliz-Campos |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
pronunciation performance
lcsh:P101-410 pronunciation learning strategies MLAT lcsh:Education (General) lcsh:Language. Linguistic theory. Comparative grammar Pronunciation performance Learning strategies Language aptitude learning strategies Chile lcsh:L7-991 language aptitude Pronunciation learning strategies |
Zdroj: | Scopus-Elsevier Iranian Journal of Language Teaching Research, Vol 6, Iss 2, Pp 57-76 (2018) |
Popis: | Indexación: Scopus. The study aimed to establish whether there is a relationship between L2 aptitude, pronunciation learning strategies (PLSs), and pronunciation performance in pre-service English language teachers in Chile. In so doing, the study also uncovers PLS use by the participants. Through a correlational and statistically descriptive methodology, all participants took three tests, namely the Modern Language Aptitude Test (MLAT), the Strategic Pronunciation Learning Survey (SPLS), and a pronunciation test, each of which was intended to gather data for the three major variables. The study was conducted at a teacher education university in Chile, with a sample of 43 Year 1 and Year 2 students. Pearson and Spearman correlation coefficients showed that no major correlations were found between PLS frequency/duration and pronunciation accuracy; nor was a major correlation found between language aptitude and pronunciation accuracy. Nonetheless, the application of a statistical model comprising the most frequently used PLSs and those with the longest duration yielded a positive correlation between these PLSs and pronunciation intelligibility levels. Future studies incorporating motivational elements are required to establish how they correlate with pronunciation accuracy, in particular. © Urmia University Press. http://ijltr.urmia.ac.ir/article_120560.html |
Databáze: | OpenAIRE |
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