The Relationship between Reflectivity in Teaching and the Sense of Self- Efficacy among ovice and Experienced Iranian EFL Teachers
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 642
فایل این مقاله در 10 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_225
تاریخ نمایه سازی: 25 بهمن 1394
چکیده مقاله:
This study intended to investigate the relationship between Iranian EFL teachers’ reflectivity in teaching and their sense of self-efficacy. Furthermore, the mediating role of teaching experience was taken into account. For the purpose of the study, two questionnaires including a Persian version of reflective teaching questionnaire (Ghadampour, Moradian, & Shokri, 2014) and the long form of teachers’ sense of self-efficacy scale or TSES (Tschannen-Moran & Woolfolk Hoy, 2001) were administrated to both novice and experienced EFL teachers at private language institutes in Khorramabad, Lorestan Province in Iran. The analysis of data through the Pearson Product-Moment correlation signified a statistical relationship between reflective teaching and self-efficacy among Iranian EFL teachers. The results of the further analysis of data demonstrated that the relationship between Iranian EFL teachers’ reflectivity in teaching and their sense of self-efficacy was statistically significant among experienced EFL teachers. In other words, novice EFL teachers under study were less reflective and bore less self-efficacy in their act of teaching in the classroom. The findings of this study imply that EFL teachers should be aware of the positive effects of reflectivity and self-efficacy and do their best to teach as reflectively and efficaciously as possible.
کلیدواژه ها:
نویسندگان
Mahmood Reza Moradian
Ph. D. in TEFL, Lorestan University, Khorramabad, Iran
Neda Ahmadi
M. A. in TEFL, Lorestan University, Khorramabad, Iran.
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 :