Proposing a Socioculturally-informed Syllabus to Teach Paragraph Writing for Iranian Undergraduate EFL learners: Materials, Methods and Assessment
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 118
فایل این مقاله در 26 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:
JR_JMRELS-5-1_003
تاریخ نمایه سازی: 13 شهریور 1400
چکیده مقاله:
Due to the importance of humanistic and learner-centered views of language teaching, many instructors and curriculum planners are sensitive of the learners’ needs in creating tailor-made instructional programs and designing effective syllabus for their courses. Accordingly, the present study used a needs analysis procedure to inspect a group of Iranian undergraduate EFL learners’ problems and needs in writing. In fact, the primary stakeholders’ (i.e., ۵۸ learners and ۳ writing instructors) views regarding the students’ difficulties in writing and their expectations and suggestions regarding the roles and effects of the writing course, instructors and the materials on resolving their problems and, thus, improving their writing ability were explored by using two sets of open-ended surveys. Subsequently, in light of the findings of the study a socioculturally-informed syllabus, which can guide the selection of materials, teaching methods and assessment techniques in a writing course, was proposed and elaborated upon. Insights provided by the present study can be useful for writing teachers, researchers, and possibly syllabus designers and curriculum planners, to design an appropriate and accountable writing course for their learners to identify and resolve their problems and, thus, enhance their writing quality.
کلیدواژه ها:
نویسندگان
Omid Mallahi
English Language Teaching Group, Hormozgan University
Mahboobeh Saadat
Department of Foreign Language and Linguistics, Shiraz University
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 :