Virtual vs. Face-to-Face: Investigating English Teachers' Preferences and Motivations for Classroom Formats
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 27
فایل این مقاله در 20 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_JELTAL-5-2_004
تاریخ نمایه سازی: 16 اردیبهشت 1404
چکیده مقاله:
The COVID-۱۹ pandemic disrupted traditional education, leading to a shift toward online teaching. As educators adapted, new challenges and preferences emerged, influencing the future of English language instruction. This study explores the factors shaping English language teachers' preferences for online or in-person teaching formats in the post-pandemic era.Using a survey of ۵۳ English teachers, data was gathered on their experiences, motivations, and teaching practices through multiple-choice, Likert scale, and open-response questions. The survey was disseminated through educational networks, with responses analyzed using SPSS software to identify trends and correlations.Results indicate that while half of the respondents still teach in person, ۸۷.۵% enjoy teaching online, citing flexibility, innovative tools, and audience reach as key benefits. However, some teachers face technical challenges and issues with assessing student performance. The findings suggest that teachers value both formats—online for personalized instruction and in-person for student engagement and personal interaction.This study concludes that combining online and in-person formats may provide the most effective teaching strategy. Institutions are encouraged to offer hybrid options to enhance teaching and learning outcomes. Future research should focus on long-term impacts of hybrid models on both teacher satisfaction and student performance. Ethical considerations were upheld throughout the study, ensuring participant confidentiality and informed consent.
کلیدواژه ها:
نویسندگان
Maryam Hamzehloo
Department of TEFL and English literature, Tehran Payame Noor University, Tehran, Iran
Mahdi Hamzehloo
Department of IT Engineering Mehralborz University Tehran, 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 :