infojournalИнформатика и образованиеInformatics and education0234-04532658-7769Publishing House Education and Informatics10.32517/0234-0453-2021-36-3-56-62infojournal-661Research ArticleПЕДАГОГИЧЕСКИЙ ОПЫТPEDAGOGICAL EXPERIENCEВыбор критериев системы поддержки принятия решений для художественного вузаSelection of criteria for a decision support system for an art universityhttps://orcid.org/0000-0001-6721-1388ВечерскаяС. Е.VecherskayaS. Е.

Вечерская Светлана Евгеньевна, канд. хим. наук, доцент, доцент кафедры информационных систем в экономике и управлении, Институт информационных систем и инженерно-компьютерных технологий

105005, Россия, г. Москва, ул. Радио, д. 22 

Svetlana E. Vecherskaya, Candidate of Sciences (Chemistry), Docent, Associate Professor at the Department of Information Systems in Economics and Management

105005, Russia, Moscow, ul. Radio, 22 

s.vecherskaya@bk.ruРоссийский новый университетРоссияRussian New UniversityRussian Federation202104062021035662Copyright © Вечерская С.Е., 20212021Вечерская С.Е.Vecherskaya S.Е.This work is licensed under a Creative Commons Attribution 4.0 License.https://info.infojournal.ru/jour/article/view/661

Предложено решение по автоматизации поддержки принятия решений для творческих вузов путем включения специальных критериев в общую конфигурацию автоматизированной системы поддержки принятия решений. Разработан прототип автоматизированной системы поддержки принятия решений для творческих вузов, которая позволит оценить достижения особо одаренных студентов и выявить, что необходимо предусмотреть в учебном процессе для того, чтобы помочь организовать его в соответствии с выявленными способностями студентов. Предлагается использовать систему поддержки принятия решений на основе байесовского классификатора для оценки факторов, способствующих прогрессу в обучении студентов конкретным техникам, а в перспективе — для оценки необходимых ресурсов, которые потребуются для внесения изменений в учебный план. Проанализированы существующие подходы к оценке успеваемости студентов. Приведен перечень конкретных показателей эффективности, учет которых необходим при оценке достижений студентов творческих специальностей. Система должна способствовать формированию учебного плана, учитывающего как возможности группы студентов художественной мастерской в целом, так и особые потребности отдельного студента для выработки, при необходимости, индивидуального подхода. 

Automation of decision support is proposed by including special criteria with the overall configuration of an automated decision support system for creative universities. 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 to assess and 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 plan. The existing approaches to the assessment of students academic performance are analyzed. The list of specific performance indicators, which are important to be taken into account when assessing the achievements of students of creative specialties, 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. 

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The authors declare that there are no conflicts of interest present.