Adaptation Process to Deliver Content Based on User Learning Styles

This work describes a model for an adaptation process to deliver educational content in a learning management system (LMS), according to a user learning style in the context of eLearning process based on competences. To achieve this purpose, a user model based on the Felder and Silverman learning styles and the design of an adaptive process are presented. We use machine learning techniques to support adaptation, learning technologic standards to specify and to characterize important elements of the learning process, and also, intelligent agents for developing an independent multiagent platform. The result of adaptation process is to deliver learning resources sorted in a specific order of presentation, according to each specific user learning style. The first prototype of our proposal has been developed upon dotLRN, an open source LMS, that allows to present implementation details in the context of this adaptation process. The work implemented will contribute to ADAPTAPLan project (TIN2005-08945-C06-00).