Decision Support System for an Art University
Svetlana E. Vecherskaya
Svetlana E. Vecherskaya, Institute of Information Systems and Engineering Computer Technologies, Russian New University (RosNOU), Moscow, Russia.
Manuscript received on 15 April 2021 | Revised Manuscript received on 24 April 2021 | Manuscript Accepted on 15 July 2021 | Manuscript published on 30 July 2021 | PP: 8-12 | Volume-1 Issue-2, July 2021 | Retrieval Number: 100.1/ijsepm.B9005071221 | DOI: 10.54105/ijsepm.B9005.071221
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 the needs in the learning process in order to help organize the educational process in accordance with identified capabilities. Use of a decision support system based on the Bayesian classifier is suggested which will allow to evaluate factors contributing to the progress in teaching students particular techniques, and in perspective to assess the possible resources that will be required to make changes to the learning. The list of specific performance indicators is given. The system should contribute to the formation of the learning plan, taking into account the capabilities of both a group art workshop as a whole, and special needs of an individual to develop, if necessary an individual approach.
Keywords: Support System, University, Performance Indicators, Learning Plan.
Scope of the Article: Object Oriented Developments