The Effect of Intensive- and Extensive-Reading-to-Write Tasks on L2 Learners’ Written Lexical Density
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 613
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ELSCONF02_196
تاریخ نمایه سازی: 25 بهمن 1394
چکیده مقاله:
Recent studies have witnessed the application of skills’ integration that ameliorates the outcomes of those skills, both in quality and quantity. But, the importance of different instructions on this integration is not considered. The current study investigates the effects of different types of reading on writing in integrated reading-to-write tasks. The participants comprised 45 foreign language learners of English in intermediate level, in three groups who have done a pretest and a posttest of writing and a set of three readings, in between. The first group had traditional discrete-skill instruction while, the second and the third group had intensive and extensive reading-to-write instructions. Intensive and extensive reading-to-write instructions exposed more lexical density in the writings, compared to the discrete-skill instruction. All the essays were examined based on their lexical density. ANCOVA results revealed that the presence of intensive and extensive instructions made a great difference in the posttests of the groups in which the lexical density of essays were fortified a lot more by intensive instructions rather than extensive ones. The implications of the study showed that integrated skills of intensive and extensive reading-to-write tasks had major effects of lexical improvement in the writings, in the realm of language teaching.
کلیدواژه ها:
نویسندگان
Azizullah Mirzaei
Faculty of Letters & Humanities English Department
Masoud Rahimi Domakani
Faculty of Letters & Humanities English Department
Solmaz Esfandiari
Faculty of Letters & Humanities English Department
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :