The Effect of Contextual Guessing vs. Word Meaning Negotiation on Vocabulary Retrieval and Retention
Publish place: کنفرانس بین المللی پژوهش در علوم و مهندسی
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 460
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICRSIE01_547
تاریخ نمایه سازی: 25 آذر 1395
Abstract:
Vocabulary teaching/learning strategies has recently received a remarkable attention by L2 researchers. In this respect, the present study set out to scrutinize the comparative effects of two vocabulary teaching/learning strategies _ contextual guessing strategy (CGS) and negotiation of unknown word meaning _ on vocabulary acquisition and retention. Following a quasi-experimental research design, 44 participants from two pre-university centers were selected and randomly assigned to two conditions; contextual guessing (CGS) and word meaning negotiation (WMN) groups. Three text passages including seventy new words were employed as materials and each group received pertinent treatment during the study. Receiving instruction on contextual guessing strategy, CGS group was taught new words through this strategy. WMN group learned new vocabulary items through negotiation and interaction. A week after treatment, immediate posttest was given for all groups and after one month the groups sat for delayed posttest. Using Independent Samples T-Test, the results indicated that the subjects in WMN group was superior to CGS group on immediate and delayed posttest alike; and there was a significant difference between them on delayed posttest. Accordingly, the results revealed a need for negotiation to be included in language classrooms especially for vocabulary teaching and learning
Keywords:
Authors
Abdullah Kohansal
MA in ELT, Payame Noor University, Tabriz Branch, Iran,
Ruhollah Seyfollahi
MA in ELT, Islamic Azad University, Ahar Branch, Iran,
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 :