ASSOCIATION BETWEEN TEACHERS’ PERSONALITY TRAITS AND TEACHERS’ BURNOUT: MODERATING ROLE OF EMOTIONAL INTELLIGENCE

Abstract

Purpose of the study: The current study aims to recognize the association between teacher's personality traits and burnout in District Peshawar, Khyber Pakhtunkhwa, Pakistan. The current study predicts the moderating role of emotional intelligence in the relationship between personality traits & burnout levels of university teachers.
 Methodology: Quantitative research method was used in this study. Questionnaires were distributed to 317 samples of university teachers in District Peshawar, KP, and Pakistan. To check validity KMO & Bartlett's test was used. Cronbach Alpha Coefficient was used to test reliability. Meanwhile, hypotheses were tested through regression analysis and t-tests.
 Main Findings: It was indicated that openness to experience and neuroticism personality traits predict emotional exhaustion, depersonalization, extroversion & neuroticism express personal achievement. Emotional intelligence significantly moderates the association between a teacher's personality traits & burnout. Additionally, it was found that female and private sector university teachers were more burnout than male and public sector university teachers.
 Applications of the study: This study will add to the present level of understanding of constructs like personality traits, emotional intelligence, and burnout. The findings of this current study will also help university teachers to know about their dominant personality traits, their emotional level of intelligence. The current study results will help stimulate further research.
 Novelty/Originality of the study: To our knowledge, there are only fewer amount of research studies on studying the association between teachers' burnout & personality traits in university teachers particularly, in the context of Pakistan. Keeping in view that previous studies were not focused on the role of emotional intelligence in the relationship between the above-mentioned dependent and independent variables.