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Emotional intelligence, competencies and performance of the university professor: Using the SEM-PLS partial least squares technique

Abstract:

The relevance of emotions in teaching is now a widely studied aspect, although the way in which teachers can carry out, regulate and control their emotions is being discussed, the study proposes how emotional intelligence can be incorporated into teaching through the competences to achieve better teaching performance. The survey technique was used, collecting data from 244 university teachers through a questionnaire using simple random sampling. The data has been analyzed using partial least squares path modeling (PLS), approach of the SEM structural equation model with the SmartPLS 3.3.0 software, the findings revealed that the model has a significant impact on teaching performance, the determination coefficients were; teacher skills (r2 = 0.703) teacher attitude (r2 = 0.661), teacher knowledge (r2 = 0.648) and for teacher performance (r2 = 0.733). with a root mean square error of approximation (SRMR) of 0.056 that makes the confirmatory model relevant. Therefore, it was statistically demonstrated that emotional intelligence has a strong impact on teachers' competences, which in turn contributes to the professor performance.