Teacher performance evaluation model in Covid-19 times

Aguilar O.G.; Duche Perez A.B.; Aguilar A.G. · Proceedings of the 15th Latin American Conference on Learning Technologies, LACLO 2020 (2020) · DOI: 10.1109/laclo50806.2020.9381159

Resumen

This study purpose was to validate a model for evaluating teacher performance at university level, in the modality of non-attendance education, based on the management of teaching and learning processes with the LMS-Moodle and its integration with the MS Teams, according to the adaptation provided by the National Superintendence of Higher University Education (SUNEDU) in Peru, due to the social distancing declared by the government in Covid-19 times. The evaluation model involves first validating the 15-item questionnaire, with 5 factors each one, with 3 items using the 5-value Likert scale, applying the Item Response Theory (IRT) model for graduated response polytomics items. The latent structure of the items was analyzed, applying firstly the exploratory factorial analysis using SPSS, secondly, for the confirmatory analysis the PLS-SEM methodology was used, which is a second generation multivariate method called Structural Equation Modeling with Partial Least Squares. The model was validated with a sample of 358 undergraduate students in 5 subjects of the Professional School of Psychology. It is concluded that the statistical tests for exploratory and confirmatory analyzes have revealed acceptable results in their evaluation, therefore, it is affirmed that the instrument is reliable and consistent, so that its relationship with the variable index of student satisfaction through the Net Promoter Score® survey. The results obtained confirm the validity of the model in its entirety.

Instituciones: Universidad Católica de Santa María