Overcoming the impact of the coronavirus pandemic (COVID-19) on primary schools is an emerging need and priority in the current social welfare system. Accordingly, this study presents an empirical learning package to support teachers, who perform frontline work in schools, in coping with stress, preventing burnout, improving their information and communications technology (ICT) competency, and introducing the principles of emotional intelligence (EI) in the classroom. The participants included 141 primary school teachers (M = 38.4 years, SD = 6.84; 54.6% women). They were randomly assigned to an experimental or control group. The experimental group participated in the 14-week teacher training program, whereas the control group did not participate in the program or receive any other training during the intervention. Repeated-measures analysis of variance (time x group) was performed to identify the effects of the teacher training program. Teachers who participated in the training program evaluated it positively and showed significant differences compared to the control group in their abilities to cope with stress and avoid burnout, their ICT competency, and their introduction of EI in the classroom. Implications for supporting teachers are discussed.

Mental health is an increasing concern, particularly among the younger population. Given that university life is a critical stage in the personal and academic development of some young individuals, identifying the factors that contribute to their well-being is essential. This study focused on exploring the role of emotional intelligence and resilience in the perceived stress of a sample of 338 university students from the University of Alicante. To this end, a structural equation analysis was used to evaluate the direct and indirect effects of the variables included in the model. The instruments used were the Trait Meta-Mood Scale, the Connor–Davidson Resilience Scale, and the Perceived Stress Scale. Based on the dimensions of the cascading model of emotional intelligence, the results indicate that emotional attention had a direct and positive effect on stress, while both emotional clarity and emotional repair influenced resilience directly and positively. In turn, resilience had a direct and negative effect on stress, acting as a mediator between the dimensions of emotional intelligence and stress. The final proposed model explained 49.3% of the variance in stress. This study provides empirical evidence regarding how these variables interact and underscores the importance of emotional abilities in stress regulation in the university setting.

Scientific research has shown that stress, emotional intelligence, and resilience have an impact on people’s quality of life of individuals. The main purpose of this work is to analyze, on the one hand, the relationship between these three variables; and, on the other hand, the role of emotional intelligence and resilience in predicting the perceived stress level in a sample of 174 students from the Undergraduate degree in Early Childhood Education and Primary Education at the University of Alicante (Spain). The instruments used were: the Spanish version of the Perceived Stress Scale, the Connor-Davidson Resilience Scale, and the Trait Meta-Mood Scale. Since this is a predictive correlational design, the Pearson correlation coefficient and a stepwise multiple regression analysis have been conducted, with the total stress score as the criterion variable. Additionally, to compare profiles (high/loss stress), the general linear model of repeated measures has been employed. The results indicate that: (a) stress is correlated with resilience and emotional intelligence variables; (b) variables such as wit, attention, regulation, and resilience predict the level of stress; and (c) students with higher scores in resilience and emotional intelligence exhibit lower perceived stress. This study aims to contribute to enhancing the understanding of these phenomena in order to develop effective interventions in higher education.

Scientific research has examined relationships between various emotional factors in teachers; however, few studies have analyzed these relationships jointly. This study aimed to explore mechanisms through which emotional intelligence, resilience, stress, and burnout influence the psychological well-being of 338 trainee teachers (comprising 72.8% women) from the University of Alicante. Structural equation modeling was used to assess the direct and indirect effects among the variables included in the model. The instruments employed were the Trait Meta-Mood Scale, the Connor–Davidson Resilience Scale, the Perceived Stress Scale, the Maslach Burnout Inventory, and Ryff’s Psychological Well-being Scale. The results indicated that resilience had a direct and positive effect on psychological well-being, while burnout had a direct but negative effect. In addition, emotional intelligence and stress influenced psychological well-being indirectly: emotional intelligence exerted a positive impact through resilience, whereas stress had a negative impact through burnout. The model explained a high percentage (85.3%) of variance in psychological well-being. This study provides empirical evidence on how these variables interact and highlights the importance of incorporating these abilities into teacher training programs to enhance teachers’ psychological well-being and thereby improve the quality of the educational process.

Teachers’ personal traits and emotional skills impact the quality of the teaching they deliver. Therefore, this study analyzes the relationship between pre-service teachers’ general mental ability, personal traits, and perceived emotional intelligence, so as to present a structural model of general mental ability. It uses a sample of 196 final-year teaching students at a university in Spain (80.1% women, M_years = 22.96). The results of the structural equation model analysis reveal that personal traits and intelligence variables contribute the most to explaining the pre-service teachers’ level of training. Regarding the pre-service teachers’ academic achievement, conscientiousness and intelligence are direct predictors; negative neuroticism and conscientiousness are indirect predictors. The findings highlight the importance of working on these variables in the study of teacher training because they relate to relevant aspects of teachers’ work and can help to achieve a quality educational environment.

Psychological well-being and teacher self-efficacy are essential dimensions for ensuring effective educational performance and high-quality teaching. Fostering these competencies in educators is key to addressing the challenges associated with the current educational system. This study evaluated the effectiveness of a training program designed to enhance these two dimensions in teachers, taking gender and years of experience as covariates. The sample included 143 primary school teachers from Alicante (Spain), with an average age of 42.4 years and a mean of 14.14 years of professional experience. Of the participants, 58.3% were women and 41.7% were men. Psychological well-being was measured using Ryff’s scale, while teacher self-efficacy was assessed with Skaalvik and Skaalvik’s scale. Using an experimental design with control and experimental groups, along with pre-test and post-test evaluations, the program’s effects were analyzed through a general linear model for repeated measures. Results showed significant improvements in psychological well-being and self-efficacy in the experimental group. Although teaching experience proved to be a significant covariate, the program was effective in controlling for this effect. These findings highlight the feasibility of designing effective training interventions to strengthen teachers’ competencies.