Searching for Behavior Patterns of Students in Different Training Modalities through Learning Management Systems

Abstract

The behavior of university students is a field of study on the rise, whose main objective is the search for patterns that help improve their learning process. This paper analyzes the use of Learning Management Systems (LMS) in Higher Education and the interactions with their different tools from the students' viewpoint. For the analysis of the student activity statistical techniques and algorithms are extending to be used for big data platform. The information extracted from each student is based both on the events held in each session and on the number of sessions held. The analyzed data belongs to subjects of different modalities (on-campus, blended, online). The results of the methods are compared and discussed regarding the learning modalities. The results are interpreted in a discussion focus obtaining satisfactory knowledge for the identification of patterns of behavior.