Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty

The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. This research is framed within the growing interest in incorporating emerging technologies into educational assessment processes, with the objective of identifying latent patterns in teaching performance related to digital skills proficiency. The use of artificial intelligence techniques, particularly supervised learning, allowed for the exploration of non-linear and complex relationships among sociodemographic, academic, and technological variables that influence the development of such competencies.