Informal caregivers often complain about missing knowledge. A knowledge-based personalized educational system is developed, which provides caregiving relatives with the information needed. Yet, evaluation against domain experts indicated, that parts of the knowledge-base are incorrect. To overcome these problems the system can be extended by a learning capacity and then be trained further utilizing feedback from real informal caregivers. To extend the existing system an artificial neural network was trained to represent a large part of the knowledge-based approach.
