A Multiagent Architecture for a Web-Based Adaptive Educational System
Jesús G. Boticario, E. Gaudioso, Senda del Rey · 2000
The widespread use of the Web in distance learning, the particular nature of the distance learning student and the dispersion of the relevant information sources increase the importance of developing interactive systems, which adapt to the information and communication needs of each student. We have developed a multiagent decision system which adapts to the user's needs. To best accomplish this, we have chosen heterogeneous agents which combine the solutions learned with different bias corresponding to different machine learning methods (C5.0, Naive Bayes, Progol, Backpropagation, Tilde and Autoclass). Introduction In order to solve the problems characteristic of Distance Learning (DL) Education on the Web we have constructed a multiagent architecture, which is intended to be adaptable to the user's needs (Boticario & Gaudioso 1999) and which is based on a combination of techniques applied in intelligent tutoring systems (ITS) (Weber & Specht 1997), adaptive hypermedia pro...