Comparing the Efficacy of Virtual and Conventional Methods in Teaching Practical Pathology to Medical Students
محل انتشار: فصلنامه آسیب شناسی ایران، دوره: 13، شماره: 2
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 443
فایل این مقاله در 5 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_IJP-13-2_001
تاریخ نمایه سازی: 23 تیر 1398
چکیده مقاله:
Electronic learning introduces a teaching device for deeper and more efficient learning. A study was conducted by the Pathology Department of Tehran University of Medical Sciences, Tehran, Iran. The topic of practical pathology was selected earlier based on the curriculum. High-quality digital images of the slides were presented in the form of an e-file. The medical students were asked to register for participation in conventional or virtual groups. The first group underwent traditional education and members of the virtual group were given the website address to click into the website where the materials were uploaded. At the end of the semester, both groups were scientifically evaluated. The mean final pathology exam grade in the virtual group was higher than that of the control group; however, the difference between groups was not statistically significant (P=0.658). In conclusion, it was observed that in teaching practical pathology, virtual education may be as effective as conventional method.
کلیدواژه ها:
نویسندگان
Alireza Abdollahi
Dept. of Pathology, School of Medicine, Imam Hospital Complex, Tehran University of Medical Sciences,Tehran, Iran | Associate Editor, Iranian Journal of Pathology, Tehran, Iran
Samaneh Salarvand
Dept. of Pathology,School of Medicine, Imam Hospital Complex, Tehran University of Medical sciences. Tehran, Iran
Hiva Saffar
Dept. of Pathology, School of Medicine, Shariati Hospital Hospital, Tehran University of Medical sciences. 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 :