SOFTWARE ARCHITECTURE FOR BUILDING INTELLIGENT USER INTERFACES BASED ON DATA MINING INTEGRATION

Building intelligent high quality multimedia interfaces for e-Learning applications represents a great challenge. This paper presents a custom designed software architecture whose goal is to provide content for e-Learning environments in an intelligent way. The proposed software architecture builds a complex system with a pronounced interdisciplinary character. The involved technologies come from the following areas: multimedia interfaces, data mining, knowledge representation and e-Learning. The obtained software system is intended to be used by a large variety of learners with possible very different background and goals. This situation yields to the goal of having an intelligent user interface that is build according with the current state of the learner and with the activities performed by previous learners. The data analysis process works as a recommender system. The system advices learner regarding the resources and activities that needs to be performed. The core business logic relies on data mining algorithms (e.g. Bayesian network learning) that are used for obtaining knowledge from data representing performed activities