Uso de técnicas de machine learning en la identificación de patrones del perfil docente innovador

Abstract

Abstract: The Universidad Técnica Particular de Loja (UTPL) through the "Ascendere" Project has been concerned with improving the quality of education, stimulating research and training innovative teachers who share their experiences with other teachers in order to expand and generalize the experience. For this reason, the interest of this research is related to the following question: What are the characteristics of the innovative teacher? The purpose of this question is to find certain properties or patterns that an innovative teacher should have in order to promote the teaching-learning process with his or her students. We worked with information from the data set provided by the Ascendere UTPL project for the years 2018, 2019 and 2020. The methodology was appliedwith the following structure: obtaining the dataset, data cleaning, variable selection, application of clustering algorithms and analysis of results. The results show that innovative teachers at UTPL are: female gender, more than five years of teaching experience and have training hours that exceed 40 hours.