Strategic Competence and Foreign Language test Performance in Iranian Context

  • سال انتشار: 1392
  • محل انتشار: فصلنامه آموزش و پژوهش زبان، دوره: 1، شماره: 3
  • کد COI اختصاصی: JR_JFL-1-3_001
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 259
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نویسندگان

Siamak Rahimi

Ph.D. Candidate, English Department, Ferdowsi University of Mashhad

Behzad Ghonsooly

Professor in Applied Linguistics, Department of English, Ferdowsi University of Mashhad

چکیده

A number of studies have accounted the integral role of foreign/second language learning and learner strategy use. However, a few of these studies have considered the relationships between strategic competence and its use and foreign language performance (FLP). This study applied structural equation modeling to deeply investigate the relationships between test takers’ strategy use and their performance on foreign language tests. For this purpose, ۱۴۷ EFL learners from three well-known branches of a private language institute in Tehran, Iran were chosen. These participants also responded to an ۸۰-item Cognitive and Metacognitive strategy questionnaire and took an ۸۱-item Key English Test (KET). Consequently the hypothesized model of strategic competence vis-à-vis FL test appeared with following findings. First, metacognitive processing (MP) had no direct effect on FLP but a significant, direct influence on cognitive processing (CP), which supports the interaction notion of Bachman and Palmer’s (۱۹۹۶) communicative competence . Second, due to the Iranian EFL context in which Iranian students and teachers show more tendencies toward memorizing vocabulary and analyzing grammar, practicing naturalistically was insignificant and deleted while the translating variable was added, which was highly significant. Third, CP had no significant effect on listening ability which shows that listening ability is much more dependent on contextual factors rather than background knowledge and strategic competence.

کلیدواژه ها

strategic competence, cognitive processing, metacognitive processing, foreign language performance, structural equation modeling

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