Uso de la metodología CRISP-DM para guiar el proceso de minería de datos en LMS

Resumen

The Educational data mining is an emerging discipline oriented to the development of new methods and techniques to explore data coming from educational contexts. The educational databases store large amounts of information being underused by both teachers, students and institutions. This occurs because the Learning Management System (LMS) like Moodle, do not have in their platform specific data analysis tools. This limitation does not allow close monitoring of student performance and thoroughly evaluate their learning activities. This article discusses the use of the methodology Cross Industry Standard Process for Data Mining (CRISP-DM), to guide the process of data analysis of engineering students in computer systems and computer science, proposed in a learning environment that combines online and classroom education. It is proposed to apply sequentially several data mining techniques on the records of a LMS to strengthen the measurement of academic performance of students.