Structural Equation Modeling of the Sources of EFL Teachers’ Self–Efficacy
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 121
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJALS-15-1_002
تاریخ نمایه سازی: 17 مرداد 1402
Abstract:
Self-efficacy, which is known as the teachers’ self-perception of their competence and abilities in doing specific tasks, has attracted considerable attention in teacher education. It is seen as the teacher’s belief in achieving specific outcomes for students in their teaching practices, but the main sources of EFL teachers’ self-efficacy have not been systematically explored in a single study. Therefore, this study set out to present a systematic review of the studies on EFL teachers’ self-efficacy. To this aim, a meta-analysis approach was employed to systematically review closely related papers from Elsevier, Google Scholar, and ERIC. The articles examined the sources of self-efficacy in a different context. Through precise screening, ۱۳ papers were found to be eligible enough to be included in this study. Findings revealed that ‘Mastery Experiences’, ‘Vicarious Experiences’, ‘Social Persuasion and Support’, ‘Emotional and Physiological States’, ‘Language Proficiency’, ‘Intelligence’, ‘Teaching skills and experience’, ‘pre-service training courses’, and ‘professional development activities’ are the main sources of self-efficacy. The findings could be theoretically and practically significant to EFL teachers, teacher trainers, and researchers interested in teacher education.
Keywords:
Authors
MohammadNasser Mosafayi
Department of English, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan, Iran
Goudarz Alibakhshi
Allameh Allameh Tabataba’i University, Tehran, Iran,
Hossein Heidari Tabrizi
Department of English, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan, 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 :