Metacognición e inteligencia artificialmás allá del paralelismo de funcionamiento

Abstract

The aim of this thesis has been to apply knowledge of artificial intelligence to the field of cognitive and metacognitive psychology. Specifically, this work has focused on the use of automatic learning techniques (Machine Learning), supervised and unsupervised, to analyze the effect on the satisfaction and performance of students of different actions that sought to provide them with a personalized learning experience. Currently, learning, especially in Higher Education environments, is being developed through interactive platforms, Learning Management System (LMS), such as Moodle. These environments offer many possibilities for registering the student activity (logs or registration units) and extracting this information, as these records are stored in databases and these can be downloaded easily in files with different formats CSV, XLS, JSON, and so on.