Authors:
Veronica Amela
;
José Luís Díez
and
Marina Valles
Affiliation:
Universidad Politécnica, Spain
Keyword(s):
Intelligent tutoring systems, Learning management systems, Engineering education, Control education.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computer-Supported Education
;
e-Learning
;
e-Learning, e-Training and Executive Training
;
Intelligent Information Systems
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Intelligent Tutoring Systems (ITS) offer an automatically personalized environment guiding the student and allows him to put his knowledge and skills in a more effective way than with traditional lessons. Besides, this learning methodology gives study location and time freedom to the student thanks to Internet facilities. Moreover the Learning Management System (LMS) or plat-form which holds the ITS, gathers the course materials and student information making them available and reusable for other control courses. In this paper, we propose a new approach to LMS in ITS, applying data mining techniques.