Implementation of Hybrid and Pure Problem-based Learning in EFL Context: The case of speaking skill and self-confidence of Iranian undergraduate participants
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 469
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JFL-9-35_006
تاریخ نمایه سازی: 9 مرداد 1400
Abstract:
Problem-based Learning (PBL) as one of the newest teaching methods in the area of language teaching in second and foreign contexts, has been used by teachers in the last two decades in different institutes. In the current study, attempts were made to find out the effect of the two PBL subcategories, i.e. Hybrid Problem-based Learning (H-PBL) and Pure Problem-based Learning (PPBL) in comparison to a traditional lecture-based method, on Iranian EFL university learners’ speaking skill and their self-confidence, by implementing these two methods in the EFL classroom using eight teacher-made real-world problems. To this purpose, ۵۶ undergraduate participants of Payam Noor university (PNU) in Abadan, Iran, were randomly selected, divided into a control group and two treatment HPBL and PPBL groups. The statistical analysis of the obtained results of the participants’ pretest-posttest scores, through one-way ANCOVA and Man-Whitney U test, revealed that the treatment groups outperformed the control group in speaking skill and self-confidence The findings of the study might bear implications for teachers and university curriculum designers to take more proper approaches towards the instructing university participants.
Keywords:
Authors
Jamal Montafej
Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Ahmadreza Lotfi
Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Azizeh Chalak
Isfahan (Khorasgan) Branch, Islamic Azad University, 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 :