The Iranian Intermediate EFL Learners` Attitudes towards Using Flipped Teaching via Google Classroom
محل انتشار: تحقیق در آموزش زبان انگلیسی، دوره: 9، شماره: 1
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 389
فایل این مقاله در 23 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_RELT-9-1_005
تاریخ نمایه سازی: 12 بهمن 1399
چکیده مقاله:
Flipped teaching is the process of moving lecture content from face-to-face class time to before class. The potential values of flipped teaching in which learners are actively engaged in the learning process have been emphasized during the past years; however, there is still little research evidence about the attitudes of the learners towards flipped teaching and the use of technology. The present investigation aimed to explore Iranian EFL learners' attitudes towards flipped teaching. To this end, 40 female intermediate EFL learners with the age range of 19 to 29 from the training department of the National Iranian Oil Company (NIOC) in Khuzestan, Iran, based on the Oxford Quick Placement Test (OQPT) were selected through convenience sampling and assigned into two groups with the same instructional strategies since having 40 students in a single class was not possible. An attitude questionnaire was examined in terms of frequencies and percentages. The results of frequency analyses indicated that EFL learners in the study had a positive attitude towards flipped teaching and agreed that it was helpful to them in many ways. The findings can be of significance for EFL learners, instructors, and syllabus designers.
کلیدواژه ها:
نویسندگان
Sara Shahani
English Department, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Azizeh Chalak
English Department, Isfahan(Khorasgan) Branch, Islamic Azad University, Isfahan,Iran
Hossein Heidari Tabrizi
English Department, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, 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 :