Does Trait Emotional Intelligence Predict Unique Variance in Early Career Success Beyond IQ and Personality?

In order to determine the contribution of emotional intelligence (EI) to career success, in this study, we analyzed the relationship between trait EI (TEI), general mental ability (GMA), the big five personality traits, and career success indicators, in a sample of 130 graduates who were in the early stages of their careers. Results from hierarchical regression analyses indicated that TEI, and especially its dimension “repair,” has incremental validity in predicting one of the career success indicators (salary) after controlling for GMA and personality. These findings provide support for the use of TEI measures as predictors of career success in the early stage.

Perceived emotional intelligence, general intelligence and early professional success: predictive and incremental validity

Although the study of factors affecting career success has shown connections between biographical and other aspects related to ability, knowledge and personality, few studies have examined the relationship be-tween emotional intelligence and professional success at the initial career stage. When these studies were carried out, the results showed significant relationships between the dimensions of emotional intelligence (emotional self-awareness, self-regulation, social awareness or social skills) and the level of professional competence. In this paper, we analyze the relationship between perceived emotional intelligence, measured by the Trait Meta-Mood Scale (TMMS-24) questionnaire, general intelligence assessed by the Cattell factor "g" test, scale 3, and extrinsic indicators of career success, in a sample of 130 graduates at the beginning of their careers. Results from hierarchical regression analysis indicate that emotional intelligence makes a specific contribution to the prediction of salary, after controlling the general intelligence effect. The perceived emotional intelligence dimensions of TMMS repair, TMMS attention and sex show a higher correlation and make a greater contribution to professional success than general intelligence. The implications of these results for the development of socio-emotional skills among University graduates are discussed.

Profiles of emotional intelligence and learning strategies in a sample of Chilean students

In the last few years, one of the lines of research of great interest in the field of emotional intelligence (EI) has been the analysis of the role of emotions in the educational context and, in particular, their influence on learning strategies. The aims of this study are to identify the existence of different EI profiles and to determine possible statistically significant differences in learning strategies between the obtained profiles. The study involved 1253 Chilean school students from 14 to 18 years (M = 15.10, SD = 1.30), who completed the Trait Meta-Mood Scale-24 (TMMS-24) and the Inventory of Learning and Study Strategies—High School version (LASSI-HS). Cluster analysis identified four EI profiles: a group of adolescents with a high EI profile, a group with predominance of low emotional attention and high repair skills, a group with high scores on attention and low scores on clarity and repair, and a final group of adolescents with low EI. Also, students in groups with high overall scores in EI and low attention and high repair emotional obtained higher scores on the different learning strategies; however, the effect size analysis showed that these differences had no empirical relevance.

Differences between the personal, social and emotional profiles of teaching and computer engineering professionals and students

The evidence suggests that emotional intelligence and personality traits are important qualities that workers need in order to successfully exercise a profession. This article assumes that the main purpose of universities is to promote employment by providing an education that facilitates the acquisition of abilities, skills, competencies and values. In this study, the emotional intelligence and personality profiles of two groups of Spanish students studying degrees in two different academic disciplines – computer engineering and teacher training – were analysed and compared. In addition, the skills forming part of the emotional intelligence and personality traits required by professionals (computer engineers and teachers) in their work were studied, and the profiles obtained for the students were compared with those identified by the professionals in each field. Results revealed significant differences between the profiles of the two groups of students, with the teacher training students scoring higher on interpersonal skills; differences were also found between professionals and students for most competencies, with professionals in both fields demanding more competencies that those evidenced by graduates. The implications of these results for the incorporation of generic social, emotional and personal competencies into the university curriculum are discussed.

Individual differences in predicting occupational success: The effect of population heterogeneity

Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and compared the results of conventional regression analysis with the results obtained from applying regression mixture models. The results reveal the influence of unobserved population heterogeneity (latent class) on the relationship between predictors and criteria and the improvement in the prediction obtained from applying regression mixture models compared to applying a conventional regression model.

Inteligencia emocional y empatía: su influencia en la competencia social en Educación Secundaria Obligatoria

La finalidad del presente trabajo es analizar las relaciones existentes entre la competencia social y la inteligencia emocional en estudiantes de Educación Secundaria Obligatoria. Así mismo, también nos proponemos analizar el papel de la empatía y sus relaciones con la competencia social y la inteligencia emocional, ya que en la mayoría de los estudios existentes aparece relacionada de un modo u otro con estos constructos. Los participantes en nuestro estudio fueron 110 estudiantes de primer ciclo de ESO. Los instrumentos empleados fueron: el test EQ-i:YV de BarOn (1997), el Cuestionario Matson de habilidades sociales para adolescentes (Matson, Rotatori, y Helsel, 1983) y el Interpersonal Reactivity Index, IRI (Davis, 1983). Las técnicas de análisis de datos incluyen: análisis de correlación, análisis de regresión múltiple paso a paso y análisis de regresión múltiple de tipo jerárquico. Los resultados obtenidos nos permiten identificar un conjunto de variables que están directamente implicadas en la Competencia social.

Competence profile differences among graduates from different academic subject fields: implications for improving students’ education

The aim of a university education is the intellectual development of citizens, and the training of professionals for their subsequent entry into the workforce. However, this entry into the workforce, following the theoretical education usually provided by the university, implies that students have to manage this difficult transition by themselves. Society, in a continual process of transformation, requires of universities that they adjust, adapting the education they offer to comply with the demands of society and the workplace. Socio-emotional skills would seem to have influence predicting professional performance. These skills also influence job-finding and employability. Consequently, providing teachers with an education in socioemotional competences is becoming a necessary task within universities, and the majority of teaching staff consider these skills to be fundamental to the personal and socio-emotional development of students. The objective of our proposed work is to establish the characteristic profile of competences of a sample of teachers in training, and compare it with the competences profile of graduate students belonging to the fields of law sciences, social sciences, humanities, science and technology, and health. Starting from results, implications will be derived for the development of generic competences of socio-emotional type in the framework of the European Frame of Higher Education.

Competencias socioemocionales en el desarrollo profesional del maestro

El principal objetivo de las universidades es educar en términos de adquisición de capacidades, habilidades, competencias y valores, con el fin último de promover el empleo. Numerosos autores han llegado a la conclusión de que la inteligencia emocional forma parte de las competencias que requieren las personas para desarrollar con éxito su labor profesional. En este trabajo se realiza una comparación de perfiles de competencias socioemocionales, mediante un análisis multivariado de la varianza, para el cual se dispuso de la opinión de una muestra de 148 maestros en ejercicio y de la medida en dichas competencias de 139 estudiantes de magisterio. Los resultados indicaron que existen diferencias en los perfiles de ambos grupos; siendo esta diferencia significativa para 11 de las 13 variables socioemocionales analizadas. Los estudiantes tienen menos desarrolladas las competencias socioemocionales que requieren según los profesionales. Parece, por tanto, necesario que desde los currícula universitarios se promueva el desarrollo de estas competencias para un desarrollo profesional eficaz.

Conducta agresiva e inteligencia emocional en la adolescencia

Son escasos los estudios que analizan la relación entre conducta agresiva e inteligencia emocional. Este estudio examina la relación entre inteligencia emocional rasgo y los componentes motor (agresividad física y agresividad verbal), cognitivo (hostilidad) y afectivo/emocional (ira) de la conducta agresiva. El Trait Emotional Intelligence Questionnaire-Adolescents Short Form (TEIQue-ASF) y el Aggression Questionnaire Short version (AQ-S) fueron administrados a una muestra de 314 adolescentes (52.5% chicos) de 12 a 17 años. Los resultados indicaron que los adolescentes con altas puntuaciones en conducta agresiva física, verbal, hostilidad e ira presentaron puntuaciones significativamente más bajas en inteligencia emocional rasgo que sus iguales con puntuaciones bajas en conducta agresiva física, verbal, hostilidad e ira. Este patrón de resultados fue el mismo tanto para la muestra total como para chicos, chicas y los grupos de edad de 12-14 años y 15-17 años. Además, en la mayoría de los casos se hallaron tamaños del efecto grandes apoyando la relevancia empírica de estas diferencias.

Estudio de la inteligencia emocional en alumnos de enseñanza secundaria: influencia del sexo y del nivel educativo de los estudiantes y su relación con el rendimiento académico

Los objetivos de este estudio fueron analizar la inteligencia emocional entre alumnos de secundaria y la influencia del sexo, nivel educativo y rendimiento académico. La muestra fue de 151 alumnos. Se utilizó el EQ-i: YV y el promedio de calificaciones. Los resultados indicaron una fuerte relación entre inteligencia emocional y rendimiento académico, y diferencias significativas en función del sexo y nivel educativo.

Complex learning: the role of knowledge, intelligence, motivation and learning strategies

This work presents the main theories and models formulated with the purpose of offering a global overview on the acquisition of knowledge and skills involved in the initial development of expert competence. Setting from this background, we developed an empirical work whose main purpose is to define those factors in a complex learning situation such as chapter-sized in a knowledge-rich domain. The results obtained in a sample of Master students reveal that the several variables intervening, such as the qualitative organization of knowledge, intellectual ability, motivation, the deliberate use of strategies, and a rich learning environment, contribute in an independent way to provide an explanation for the acquired knowledge.

Open business intelligence: on the importance of data quality awareness in user-friendly data mining

Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open Business Intelligence (OpenBI) is introduced in this position paper. OpenBI facilitates non-expert users to (i) analyze and visualize LOD, thus generating actionable information by means of reporting, OLAP analysis, dashboards or data mining; and to (ii) share the new acquired information as LOD to be reused by anyone. One of the most challenging issues of OpenBI is related to data mining, since non-experts (as citizens) need guidance during preprocessing and application of mining algorithms due to the complexity of the mining process and the low quality of the data sources. This is even worst when dealing with LOD, not only because of the different kind of links among data, but also because of its high dimensionality. As a consequence, in this position paper we advocate that data mining for OpenBI requires data quality-aware mechanisms for guiding non-expert users in obtaining and sharing the most reliable knowledge from the available LOD.

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.

Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence

Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.