The Effect of Group Dynamic Assessment on Raising Young Iranian EFL Learners' Metacognitive Awareness and Listening Comprehension
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 179
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMRELS-2-3_004
تاریخ نمایه سازی: 13 شهریور 1400
Abstract:
Listening has long been the neglected skill in second/foreign language acquisition, research, teaching, and assessment. And managing listening instruction and improving listening comprehension in the classroom are difficult for teachers and EFL learners. In this regard, this study aimed at investigating the effect of group dynamic assessment (G-DA) on Iranian EFL learners' metacognitive listening strategies and listening comprehension. Sixty young EFL listeners were assigned to an experimental and a control group at random. The experimental group (n = ۳۰) was metacognitively instructed based on group dynamic assessment. The students in the control group (n = ۳۰) were orally exposed to the same material without being metacognitively instructed by the same teacher. After ten instructional sessions, a listening comprehension post-test and the metacognitive awareness listening questionnaire (MALQ) were administered to both groups to measure their listening comprehension and metacognitive awareness, respectively. A comparison of pre- and post-test scores of the G-DA group showed that the learners benefited from metacognitive instruction as measured by the listening comprehension test. As well, it was found that the experimental group significantly outperformed the control group on both listening comprehension and MALQ post-tests.
Keywords:
Authors
Mahmood Reza Moradian
Department of English Language and Literature, Lorestan University, Khorramabad
Parisa Kogani Baharvand
Department of English Language and Literature, Lorestan University
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :