Decision Support System for an Art University

A prototype of an automated decision support system for creative universities has been developed, which will allow assessing the achievements particularly talented students and identifying needs in learning process order to help organize educational accordance with identified capabilities. Use a based on Bayesian classifier is suggested evaluate factors contributing progress teaching particular techniques, perspective assess possible resources that be required make changes learning. The list specific performance indicators given. should contribute formation plan, taking into account capabilities both group art workshop as whole, special individual develop, if necessary approach.