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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2022 Issue 2, Pages 51–61 (Mi iipr64)

This article is cited in 1 paper

Decision analysis

Visual decision support for curriculum development using the UGVA method

V. A. Uglev

Siberian Federal University, Zheleznogorsk, Russia

Abstract: The article deals with an approach to comparing, evaluating, and improving curricula. A model of parameterization of the curriculum with respect of key professional skills. For data concentration and analysis, we used the Unified Graphic Visualization of Activity (UGVA) method. We describe the results of an analysis of 36 curricula for the Russian academic major “system analysis and control”. The images created using the described method allowed us to summarize curricula evaluation data, identify the differences in teaching students and best practices. Comparing the selected curriculum with others in UGVA notation, we developed recommendations on changing the curriculum structure regarding courses developing key professional skills. General recommendations on the use of the method in decision-making are given.

Keywords: curriculum, decision-making, visualization, cognitive graphics, Chernoff Faces, UGVA method.

DOI: 10.14357/20718594220205


 English version:
, 2023, 50:6, 646–654

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© Steklov Math. Inst. of RAS, 2024