Understanding the emotional profile of students during their training, as well as associated psychosocial factors such as optimism versus pessimism and self-esteem, is critical to improving student performance, especially in the post-pandemic period. In this study, 798 university students participated, belonging to the Degrees of Early Childhood and Primary Education, with a mean age of 24.52 years (±5.48). The following instruments were used: Wong Law Emotional Intelligence Scale (WLEIS-S), Life Orientation Test Revised (LOT-R) and the Rosenberg Self-Esteem Scale (RSES). The objective was to determine the predictive value of self-esteem on emotional intelligence and optimism vs. pessimism. A positive relationship between several dimensions of the instruments used (p < 0.01) were found. Moreover, the regression model predicted an association between emotional intelligence (use of emotions), pessimism and self-esteem. The practical consequences suggest the importance of the acquisition of emotional competences by university students is essential to obtain higher performances.
(1) Background: To achieve a quality education, within the university context, has become a fundamental issue in the educational agenda and objectives of Sustainable Development, mainly by corroborating that the knowledge acquired and the level of competence determine academic performance and are related to motivational factors. The objective was to analyze the relationship of the learning strategy through its different dimensions (learning support strategies, intrinsic motivation, and study habits) according to the motivational profile of Education students. (2) Methods: In this study, 436 students from the Faculties of Education of Granada and Jaén (Spain) participated, 318 women (73.6%) and 118 men (26.4%), with a mean age of 19.40 years (±3.67). The ACRA scale on Learning Strategies and the Academic Motivation Scale were used. (3) Results: The results showed that the determination coefficients Learning support strategies [(Q2 = 0.216); (R² = 0.559)], Intrinsic motivation [(Q2 = 0.225); (R² = 0.364)], and Study habits [(Q2 = 0.149); (R² = 0.315)], in the estimation of the measurement model, indicated a great adjustment of the model. (4) Conclusions: The present investigation is not conclusive; however, it presents evidence that could indicate a better performance in the students when implementing motivational strategies.
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