The study investigates the relationship between perceived emotional intelligence, burnout, work engagement, and job satisfaction in 238 Italian school teachers. The mean age was 50 years, ranged from 26 to 66 (SD = 9.16). The research protocol included a demographics data sheet, the Wong and Law Emotional Intelligence Scale (WLEIS; Wong & Law, 2002), the Copenhagen Burnout Inventory (CBI; Kristensen, Borritz, Villadsen, & Christensen, 2005), the Utrecht Work Engagement Scale (UWES; Schaufeli, Bakker, & Salanova, 2006), and the Organizational Satisfaction Scale (QSO; Cortese, 2001). Several international studies already demonstrated an association among these variables. Our results showed that perceived emotional intelligence positively correlates with work engagement and job satisfaction, and negatively correlates with burnout. Hierarchical regression analyses also point out that, among all the perceived emotional intelligence subdimensions, the use of emotion is the best predictor of the study variables, even when controlling for gender differences. These results suggest that emotional intelligence may have a protective role in preventing negative working experiences of teachers.

Teachers’ psychological well-being is a crucial aspect that influences learning in a classroom climate. The aim of the study was to investigate teachers’ emotional intelligence, burnout, work engagement, and self-efficacy in times of remote teaching during COVID-19 lockdown. A sample of 65 teachers (M_age = 50.49), from early childhood through lower secondary education, were recruited during a period of school closure to answer self-report questionnaires and other measures assessing study variables. Results showed that during the COVID-19 pandemic, teachers reported higher levels of burnout and lower levels of self-esteem due to multiple challenges related to remote teaching and the growing sense of insecurity regarding health safety in the school environment. However, the negative effects of COVID-19 on teachers’ self-efficacy, work engagement, and burnout varied according to their own levels of emotional intelligence. These results demonstrate that emotional intelligence may support teachers in facing these challenges.

Meta-emotional intelligence is a recently developed multidimensional construct that, starting from the original ability model of emotional intelligence, focuses on the cognitive aspects of emotional abilities and on the metacognitive and meta-emotional processes that influence our emotional life. Thus, meta-emotional intelligence is the combination of emotional abilities and meta-emotional dimensions, such as the beliefs about emotions, the self-concept about one's emotional abilities, and the self-evaluation of performance. This article aims to illustrate the theoretical and methodological background of this construct and to describe the IE-ACCME test, an original multi-method tool that has been developed to measure the different variables that compose meta-emotional intelligence. Applications of this construct will be discussed, as well as future directions.

The study focuses on sex differences in emotional and meta-emotional intelligence in a sample of 355 pre-adolescents and 164 adolescents. Emotional and meta-emotional intelligence were measured using the multi-trait multi-method IE-ACCME test, allowing to define individuals' profiles of ability EI, emotional self-concept, meta-emotional knowledge, meta-emotional ability in self-evaluation and meta-emotional beliefs. Meta-emotional dimensions refer to the awareness of individuals about their emotional abilities and to their beliefs about the functioning of emotions in everyday life. Results demonstrated that girls scored better than boys in ability-EI, in particular in adolescents' group, whereas boys reported higher score than girls in emotional self-concept in both groups of age. Result about meta-emotional knowledge and meta-emotional ability in self-evaluation revealed that boys systematically overestimate their emotional abilities whereas girls, particularly in the adolescent group, tend to underestimate them. Finally, in both age groups, girls scored higher than males in metaemotional beliefs. The adoption of the meta-emotional intelligence framework may help to explain the discordances about sex differences found in previous studies using self-report vs. performance measures of EI. Moreover, it may contribute to shed light on the nature-nurture debate and on the role of meta-emotional variables for explaining sex differences in EI.

Inner Speech is an essential but also elusive human psychological process that refers to an everyday covert internal conversation with oneself. We argued that programming a robot with an overt self-talk system that simulates human inner speech could enhance both human trust and users’ perception of robot’s anthropomorphism, animacy, likeability, intelligence and safety. For this reason, we planned a pre-test/post-test control group design. Participants were divided in two different groups, one experimental group and one control group. Participants in the experimental group interacted with the robot Pepper equipped with an over inner speech system whereas participants in the control group interacted with the robot that produces only outer speech. Before and after the interaction, both groups of participants were requested to complete some questionnaires about inner speech and trust. Results showed differences between participants’ pretest and post-test assessment responses, suggesting that the robot’s inner speech influences in participants of experimental group the perceptions of animacy and intelligence in robot. Implications for these results are discussed.

This paper aims to discuss the possible role of inner speech in influencing trust in human–automation interaction. Inner speech is an everyday covert inner monolog or dialog with oneself, which is essential for human psychological life and functioning as it is linked to self-regulation and self-awareness. Recently, in the field of machine consciousness, computational models using different forms of robot speech have been developed that make it possible to implement inner speech in robots. As is discussed, robot inner speech could be a new feature affecting human trust by increasing robot transparency and anthropomorphism.