{"title":"Gains in Pronunciation of Lexeme‐Initial Biconsonantal Clusters Among Second Language Learners: An Individual Differences–Treatment Interaction Design","authors":"Mohammad N. Karimi, Parisa Ashkani","doi":"10.1111/lang.70010","DOIUrl":null,"url":null,"abstract":"The present study investigated how instruction across explicit versus implicit conditions interacts with aptitude to affect gains in the pronunciation of lexeme‐initial biconsonantal clusters among learners of English as a second language. The study further examined whether condition‐congruent aptitudes correlate with emotions that learners experience during instruction and whether and how such emotional reactions mediate the effect of condition‐congruent aptitudes on the learners’ pronunciation outcomes. Results from the general linear model analyses indicated a significant effect of instruction on pronunciation outcomes, as well as a superiority for explicit instruction compared with implicit instruction. The results further revealed a significant effect of the interaction of aptitude and instructional condition on the learners’ pronunciation gains. Condition‐congruent aptitudes were also found to correlate strongly with different emotions that learners experienced. Furthermore, the results of the mediated regression analyses in R revealed that emotions mediated the influence of condition‐congruent aptitudes on pronunciation outcomes.","PeriodicalId":51371,"journal":{"name":"Language Learning","volume":"86 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Learning","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1111/lang.70010","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
The present study investigated how instruction across explicit versus implicit conditions interacts with aptitude to affect gains in the pronunciation of lexeme‐initial biconsonantal clusters among learners of English as a second language. The study further examined whether condition‐congruent aptitudes correlate with emotions that learners experience during instruction and whether and how such emotional reactions mediate the effect of condition‐congruent aptitudes on the learners’ pronunciation outcomes. Results from the general linear model analyses indicated a significant effect of instruction on pronunciation outcomes, as well as a superiority for explicit instruction compared with implicit instruction. The results further revealed a significant effect of the interaction of aptitude and instructional condition on the learners’ pronunciation gains. Condition‐congruent aptitudes were also found to correlate strongly with different emotions that learners experienced. Furthermore, the results of the mediated regression analyses in R revealed that emotions mediated the influence of condition‐congruent aptitudes on pronunciation outcomes.
期刊介绍:
Language Learning is a scientific journal dedicated to the understanding of language learning broadly defined. It publishes research articles that systematically apply methods of inquiry from disciplines including psychology, linguistics, cognitive science, educational inquiry, neuroscience, ethnography, sociolinguistics, sociology, and anthropology. It is concerned with fundamental theoretical issues in language learning such as child, second, and foreign language acquisition, language education, bilingualism, literacy, language representation in mind and brain, culture, cognition, pragmatics, and intergroup relations. A subscription includes one or two annual supplements, alternating among a volume from the Language Learning Cognitive Neuroscience Series, the Currents in Language Learning Series or the Language Learning Special Issue Series.