A multiagent architecture to support distance learning personalization on the Web

摘要

This article presents the description of the objectives, the structure and the functionality of an interactive system intended to focus the teaching on the performance of the student and to resolve problems detected in Internet use for distance learning. The system adapts to the information and communication needs of the different types of users. This adaption is done through user model acquisition from the data available on the students and user interaction with the system. WebDL, the system we have developed, is the result of an effective combination of techniques used in intelligent tutoring systems, adaptive hypermedia programs and learning apprentice systems for software personalization. In the initial stages, WebDL is being used for the personalization of the presentation of the exercise part of the machine learning courses at UNED (The Spanish National University for Distance Education) Computer Science School.