A multi-level model for tracking analysis in e-learning platforms

The generalized use of e-learning platforms both on campus and on distance learning scenarios promote a widespread dissemination of information among the users, however, an effective loss of "face-to-face" contact between tutor and student occurs. In this paper, a new 3-level classification model for tracking analysis on e-learning platforms is presented. In order to adopt this 3-level model a new data management system is introduced allowing the implementation of an information support system, an intelligent tutoring system and a decision support system, this way, improving the learning efficiency and overcoming the lack of "face-to-face" contact in previous e-learning approaches.