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   the predictability of turkman students’ academic engagement through persian language teachers’ nonverbal immediacy and credibility  
   
نویسنده derakhshan ali
منبع پژوهش نامه آموزش زبان فارسي به غير فارسي زبانان - 2021 - دوره : 10 - شماره : 1 - صفحه:3 -24
چکیده    Due to the crucial role of student academic engagement in learning a second language, teacher interpersonal variables which affect second language learners’ engagement have gained momentum. to keep up with this line of inquiry, this study attempted to probe the role of persian language teachers’ nonverbal immediacy and credibility in their turkman students’ academic engagement. to do this, 503 turkman students with different educational grades (i.e., 7, 8, 9, 10, 11, 12) voluntarily took part in this study from different regions of golestan province. the sample included 282 females and 221 males ranging in age from 12 to 18. to obtain the data, nonverbal immediacy scale (nis), source credibility scale (scs), and utrecht work engagement scale for students (uwess) were distributed among participants. pearson correlation coefficient tests were run to analyze the gathered data. the results exhibited that there were significant positive correlations among persian language teachers’ nonverbal immediacy, credibility, and turkman students’ academic engagement. the findings were also approved by structural equation modeling (sem) results: turkman students’ academic engagement was predicted significantly and positively by their persian language teachers’ nonverbal immediacy and credibility. the outcomes of the present study posit that turkman students’ academic engagement can be remarkably enhanced by their persian language teachers’ credibility and nonverbal immediacy. finally, the pedagogical implications for teaching persian to speakers of other languages are also discussed.
کلیدواژه student academic engagement ,teacher nonverbal immediacy ,teacher credibility ,turkman students ,persian language teachers ,second language learning ,structural equation modeling
آدرس golestan university, department of english language and literature, iran
پست الکترونیکی a.derakhshan@gu.ac.ir
 
   The Predictability of Turkman Students’ Academic Engagement through Persian Language Teachers’ Nonverbal Immediacy and Credibility  
   
Authors Derakhshan Ali
Abstract    Due to the crucial role of student academic engagement in learning a second language, teacher interpersonal variables which affect second language learners’ engagement have gained momentum. To keep up with this line of inquiry, this study attempted to probe the role of Persian language teachers’ nonverbal immediacy and credibility in their Turkman students’ academic engagement. To do this, 503 Turkman students with different educational grades (i.e., 7, 8, 9, 10, 11, 12) voluntarily took part in this study from different regions of Golestan province. The sample included 282 females and 221 males ranging in age from 12 to 18. To obtain the data, Nonverbal Immediacy Scale (NIS), Source Credibility Scale (SCS), and Utrecht Work Engagement Scale for Students (UWESS) were distributed among participants. Pearson correlation coefficient tests were run to analyze the gathered data. The results exhibited that there were significant positive correlations among Persian language teachers’ nonverbal immediacy, credibility, and Turkman students’ academic engagement. The findings were also approved by structural equation modeling (SEM) results: Turkman students’ academic engagement was predicted significantly and positively by their Persian language teachers’ nonverbal immediacy and credibility. The outcomes of the present study posit that Turkman students’ academic engagement can be remarkably enhanced by their Persian language teachers’ credibility and nonverbal immediacy. Finally, the pedagogical implications for teaching Persian to speakers of other languages are also discussed.
Keywords Student Academic Engagement ,Teacher Nonverbal Immediacy ,Teacher Credibility ,Turkman Students ,Persian Language Teachers ,Second Language Learning ,Structural Equation Modeling
 
 

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