Integrating Learning Styles in an Adaptive Hypermedia System with Adaptive Resources

Abstract

At present, e-Learning for distance education is increasing, but most of them do not take into account the individualities of the students, such as learning styles, offering the same content to all. This paper presents, an adaptive hypermedia web system based on learning styles; At the start of the session, the user performs the Felder and Soloman learning styles questionnaire to obtain information from the students. These results show learning objects (OA) for the computer programming subject to the students to analyze later the data of interaction of them with the system and thus determine if these objects apply to that style of learning, in case they solve them in many attempts, feedback is sent to the teacher to modify them based on their learning styles and exercises that are resolved in fewer efforts to improve the course, when the system collects more user interaction data will make better recommendations to new users using simple sequencing.