Models of Relationship between Emotional, Spiritual, Physical and Social Intelligence, Resilience and Burnout among High School Teachers

Abstract

Burnout is a condition that can affect a person's work performance. Among the internal factors that contribute to burnout are emotional intelligence, spiritual intelligence, social intelligence, physical intelligence and resilience. This study explores the relationship among these internal factors toward the occurrence of burnout. A relationship model between variable of study was created based on the findings of the study. Instruments related to emotional, spiritual, social and physical intelligence and burnout have been distributed to 377 students of secondary school teachers throughout Selangor as a sample of chosen research using random-stratified sampling and cluster sampling. This study utilizes two approaches in analyzing data, which consist of descriptive statistics of IBM SPSS software statistics 22.0 and inferential statistics using advanced modeling analysis Structured equations (SEM) through the software Analysis of Moment Structure (AMOS) 22.0. The results of correlation analysis have shown that there is direct relationship for all intelligence factors against burn out. All variables have affected burnout except social intelligence. The findings of the study to demonstrate a model of emotional intelligence, social intelligence, physical intelligence, spiritual intelligence and resilience with burnout have reached the concurrence value. Teachers equip themselves with the intelligence and have resilience in carrying out its duties to increase the students ' achievement, thereby encouraging their excellence. The predictor of emotional, spiritual, physical intelligence and burnouts is an important indicator to certain stakeholder such as Ministry of Education Malaysia to improve vital elements to choose a teacher and courses that should be implemented to the teacher to prevent burnout from occurring.

Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network

“…The way in which emotions are managed will be related to a higher probability of occurrence of the syndrome [27]. The interactions between teachers and students should also be highlighted as they are an essential part of daily teaching work [22].…”

Influence of Resilience on Burnout Syndrome of Faculty Professors

“…Previous research shows significant differences related to gender, significantly higher scores in men than in women. Most studies show that men present higher scores in the exhaustion dimension than women [ 46 , 47 , 87 ]. Exhaustion is a strong predictor of burnout.…”

“…The mental exhaustion dimension is described as wearing out, losing energy, debilitation, depletion, and fatigue [ 47 , 87 ]. On the other hand, resilience is a vital factor that diminishes professional exhaustion in professors [ 46 , 87 ]. Academic resilience is of great importance for professors.…”

Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables

“…However, not only work factors influence the genesis of stress in teachers, but also personal variables such as resilience. The absence of resilience plays a transcendental role in the explanation of the genesis of burnout due to its predictive value for teacher stress ( Ismail et al, 2020 ). In summary, the relationship between self-esteem and the other factors that may be affecting its levels is complex, and for this reason it is necessary to continue researching it ( Ferradás et al, 2020 ).…”