A COMPUTATIONAL TOOL TO ANALYZE THE EVOLUTION OF STUDENT LEARNING

Currently, information, technology, communication and interaction are important allies of the learning process. Teachers and students are increasingly closer to resources such as tablets, smartphones, virtual labs, virtual learning environments and other technologies that are strongly focused on improving the quality of education. The technologies are not intended to replace traditional methods of learning or teachers. The goal is to be a tool that supports the learning process enabling the student to create opportunities in an environment where they can develop their skills better. While students are awakened to a new form of learning, the teacher is able to watch the evolution or involution of the students. This is only possible if you have at their reach tool that monitors the learning process and generate data for the teacher to intervene on behalf of students. In this context, we propose a computational tool that aims to analyze the student's behaviour in inherent aspect of the learning process. Our tool gives conditions for the teacher to identify the student’s level of success in their subject in order to achieve a special work which the final goal is to identify flaws in the learning process.