Selection of criteria for a decision support system for an art university

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2021-06-04 DOI:10.32517/0234-0453-2021-36-3-56-62

S. Vecherskaya

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Abstract

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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艺术大学决策支持系统的标准选择

通过在创新型大学自动化决策支持系统的总体配置中加入特殊标准，提出了自动化决策支持的建议。为创新型大学开发了一个自动化决策支持系统的原型，该系统将允许评估成绩，特别是有才能的学生，并确定学习过程中的需求，以帮助根据识别的能力组织教育过程。建议使用基于贝叶斯分类器的决策支持系统来评估和评估在教授学生特定技术方面取得进展的因素，并正确评估改变学习计划所需的可能资源。分析了现有的学生学业成绩评价方法。在评估创意专业学生的成就时，必须考虑的具体绩效指标清单。该系统应有助于学习计划的形成，考虑到团体艺术工作室的整体能力，以及个人发展的特殊需要，如有必要，可以采用个人方法。

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.