امام علی (ع) و مدیریت عواطف در خطبههای «شقشقیه» و «جهاد»
Publish place: Alavi Research Journal، Vol: 6، Issue: 11
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: Persian
View: 274
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_ALAVI-6-11_005
تاریخ نمایه سازی: 17 آذر 1399
Abstract:
Emotional Quotient (EQ) which is also known as emotional intelligence, is a psychological concept that deals with recognizing and controlling human emotions and impulses. The term EQ was first employed in 1990s by a psychologist named Frank Sulloway to define the quality of human understanding and emotion; a term that was well utilized in reference to an individual’s ability to empathize with others, and control impulses and temperaments. Emotion is a bridge that connects psychology to literature and is considered one of the four most important elements of literature that plays a vital role in literary pieces. The book of Nahjal-Balaghah, as a token of Imam Ali, is the source and origin of eloquence and rhetoric, and considered to be a most impressive literary and scientific work. A study of the sermons in Nahjal-Balaghah reveals that Imam Ali was did not only have individual and social competence, but also emotional intelligence, because his ability to identify and control his emotions is apparent in his management of affairs, advisory addresses, and complaints. An analysis of Imam Ali’s emotional quotient and impulse management through the two sermons of “Shaqshaqiah” and “Jihad” as selected samples of many documented instances, reveals the extent of his ability to manage his impulses and control his emotions successfully
Keywords:
Authors
نوذر عباسی عباسی
دانش جوی دکتری زبان و ادبیات عرب/دانشگاه سمنان
مرتضی قائمی
دانشیار زبان و ادبیات عرب/دانشگاه بوعلی سینا
مسیب یارمحمدی واصل
استادیار گروه روان شناسی/ دانشگاه بوعلی سینا
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 :