The Potential Relationship between English Vocabulary knowledge and Morphological knowledge of Iranian Pre_ University Students
Publish place: Research on English language education issues
Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
View: 629
This Paper With 18 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
RELEI01_003
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
The present study aimed to examine the possible relationship between English morphological knowledge as a powerful vocabulary learning strategy and English vocabulary knowledge of Iranian pre_university students. The study was conducted on 70 Iranian pre-university students aged 18-19. Morphological knowledge and vocabulary size of Iranian pre_university students were assessed through using Nation‟s 2,000-word level Vocabulary Test (VLT) and Morphological Knowledge test which evaluated students‟ knowledge of inflection, derivation and compounding. Then the results were correlated in order to find out whether morphological knowledge plays any role in vocabulary size of Iranian pre_university students or not. The results showed that there is a significant relationship between the students‟ overall morphological Knowledge and their vocabulary Knowledge. In addition, the results underscored the potential importance of different aspects of morphological knowledge for increasing vocabulary knowledge. Students‟ ideas regarding the tests were also investigated through using a questionnaire. The findings of this study led to the suggestions to improve Iranian pre_university students' English learning in general and their vocabulary size in particular through using morphological Knowledge as a very useful vocabulary learning strategy.
Authors
Mansour Koosha
Associate Professor Islamic Azad University, Khorasgan Branch
Mohsen Salimian
M.A. in TEFL Islamic Azad University, Khorasgan Branch
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 :