Effects of Second Language Pronunciation Teaching Revisited: A Proposed Measurement Framework and Meta‐Analysis

Эффекты обучения произношению на втором языке: пересмотр результатов, предлагаемая система измерения и метаанализ
Kazuya Saito, Luke Plonsky
2019-04-30

L2 pronunciation measurementacoustic analysesmeta-analysispronunciation teachingsegmental and suprasegmental features
We propose a new framework for conceptualizing measures of instructed second language (L2) pronunciation performance according to three sets of parameters: (a) the constructs (focused on global vs. specific aspects of pronunciation), (b) the scoring method (human raters vs. acoustic analyses), and (c) the type of knowledge elicited (controlled vs. spontaneous). Adopting this model (Framework for L2 Pronunciation Measurement) as a synthetic tool, we coded the instruments found in 77 studies of L2 pronunciation teaching published between 1982 and 2017. We calculated the frequency of each measurement type and reexamined the interaction of instructional effectiveness and measurement within the sample. According to the results, instruction is most effective when it targets learners’ monitored production of specific segmental or suprasegmental features. The efficacy of instruction remains relatively unclear when gains are measured globally via subjective, human judgments, especially at a spontaneous level. Open Practices This article has been awarded an Open Materials badge. All materials are publicly accessible via the IRIS database at https://www.iris-database.org . Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki .
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Instructional efficacy remains unclear when improvement is assessed globally through subjective human judgments, particularly during spontaneous production.
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Pronunciation instruction is most effective when targeting learners’ monitored production of specific segmental or suprasegmental features.
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The framework was applied to code pronunciation assessment instruments across 77 studies published between 1982 and 2017.
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The paper introduces a framework classifying L2 pronunciation measures by construct, scoring method, and elicited knowledge type.
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The study’s measurement materials are openly accessible through the IRIS database.

instructed second language (L2) pronunciation performance and its measurement in studies of L2 pronunciation teaching

the relationship between pronunciation measurement parameters and instructional effectiveness, including global versus specific features, human versus acoustic scoring, and controlled versus spontaneous production

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2019-04-30
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Kazuya Saito
Luke Plonsky
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