Machine learning, intelligence (ai and hi) and learning on digital networks

Abstract

Práctica Pedagógica de la Educación Ecuatoriana en el Siglo XXIM To predict the future has always been the wish shared by a certain part of humanity. If that were possible, some would think that we could then change it in order to make it more acceptable, even happier. Predictive analysis is now being developed and based on Machine Learning (ML), composed of statistics and computer algorithms that make it possible to automate the construction of a prediction function using a set of observations called “learning sets”. The learning machine is supposed to make more effective predictions using Big Data technology. Our objective is to present what Machine Learning is, to compare human intelligence with artificial intelligence, and to explain how the machine learning could be used in predicting the success of adult learning (> 21 years), on digital networks (ODL, E-learning, MOOC, etc.).