Decision table for adaptive e-learning systems

The easy access to training and content in the digital age has greatly accelerated the level of competitiveness of individuals and organizations. The e-learning space is outside the context of academic and corporate. It supports lifelong learning which has become central to the development of competitive advantage and for the affirmation individual. This implies that training is paid to individuals are characterized by requirements training extremely varied. The designers of e-learning systems have, in this context, the task of developing systems with adaptive and flexible functions in order to adapt the path training, the pedagogical models and the interactions between attending to their needs and preferences. In literature, these systems are called adaptive e-learning systems. Adaptive e-learning systems adopt a system of rules with complex logic. This may involve a high number of anomalies which correct can be difficult and expensive. In this study presents the conceptual models and technology of adaptive elearning more accredited in the literature and a framework based on the technique of decision table for the representation and validation of complex business logic in the rules