Standardized modeling learners ontology «SLMonto» to support interactive learning environment

Abstract

One of the most important element for adapting and personalizing Technology-Enhanced Learning (TEL) is the learner model because it contains a lot of useful information about an individual such as learning preferences, academic performance and learning styles. These latter, which are increasingly being incorporated into TEL, and seems to be a promising concept for making learning easier for students. The application of these concepts in traditional learning is almost impossible as we only have one teacher with thirty or even hundreds of students in a class, so he can not apply an adaptive learning for each of them. However, the emergence of adaptive learning management system (LMS) offers a great advantage for students, as it allows them to have a personalized learning process that can be suited with their needs and characteristics. Now days, many researchers has been working in this area. The purpose of this article is to propose a learner model ontology «SLMonto» based on popular student modeling standards. As well as the representation of the prior knowledge of the student's performance, motivation, and the learning style which is adapted from Felder-Silverman Learning Style Model.