Building Personalized Interfaces by Data Mining Integration

Abstract

Building personalized high quality multimedia interfaces represents a great challenge. This paper presents a custom procedure of building personalized interfaces within e-Learning environments. The procedure has an interdisciplinary approach since the following domains are met: multimedia interfaces, data mining and e-Learning. A large variety of learners with possible very different background and goals may access an e-Learning system. This situation yields to the necessity that the interface to by dynamically build according with the current state of the learner. The business logic that decides which resources are available for the learner is based on Bayesian network learning.