Software methods for curriculum processing, analysis and visualization
https://doi.org/10.32362/2500-316X-2026-14-2-42-56
EDN: XNQJRO
Abstract
Objectives. The purpose of this study is to identify methods and approaches to developing a software package which can automate the processing, analysis, and visualization of curricula in educational programs.
Methods. We provide an overview of relevant scholarly literature and research results. The software package applies regular expressions for data processing, comparative analysis, and descriptive statistics to identify differences. It also uses a graph-based model for visualization.
Results. We designed the architecture of a software package for preprocessing, analyzing, and visualizing curricula following the SOLID principles of object-oriented programming. We implemented the package in C++, in order to calculate curriculum characteristics and build a graph representation. This formed the basis of our proposed visualization method. We demonstrate the functionality of the package through a comparative analysis of curricula, identification of distinctive features, and detection of design shortcomings.
Conclusions. Our software package helps identify specific features, reveal possible weaknesses, and support the comparative analysis of different curricula. Using it improves the quality of educational process management, addresses gaps in educational data analysis, and contributes to the creation of a university digital ecosystem. The results of our study are useful for faculty members designing and developing curricula, as well as administrative and managerial staff (including those in academic affairs) and other higher education stakeholders.
About the Authors
E. A. Khalturin
Siberian Federal University
Russian Federation
Competing Interests:
Russian Federation
Evgenii A. Khalturin, Senior Lecturer, Department of Information System, School of Space and Information Technology
Competing Interests:
The authors declare no conflicts of interest.
A. A. Kytmanov
MIREA – Russian Technological University
Russian Federation
Competing Interests:
Russian Federation
Alexey A. Kytmanov, Dr. Sci. (Phys.-Math.), Associate Professor, Head of the Higher Mathematics Department – 3, Institute for Advanced Technologies and Industrial Programming
Competing Interests:
The authors declare no conflicts of interest.
Yu. V. Vaynshteyn
Siberian Federal University
Russian Federation
Competing Interests:
Russian Federation
Yuliya V. Vaynshteyn, Dr. Sci. (Education), Professor, Department of Applied Mathematics and Data Science, School of Space and Information Technology
Competing Interests:
The authors declare no conflicts of interest.
T. V. Zykova
Siberian Federal University
Russian Federation
Competing Interests:
Russian Federation
Tatiana V. Zykova, Cand. Sci. (Phys.-Math.), Associate Professor, Department of Applied Mathematics and Data Science, School of Space and Information Technology
Competing Interests:
The authors declare no conflicts of interest.
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Supplementary files
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1. Visualization of the graph model of the curriculum for all semesters of study | |
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| Type | Исследовательские инструменты | |
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- An architecture of a software package for preprocessing, analyzing, and visualizing curricula following the SOLID principles of object-oriented programming was developed.
- The package in C++ was implemented, in order to calculate curriculum characteristics and build a graph representation.
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For citations:
Khalturin E.A., Kytmanov A.A., Vaynshteyn Yu.V., Zykova T.V. Software methods for curriculum processing, analysis and visualization. Russian Technological Journal. 2026;14(2):42-56. https://doi.org/10.32362/2500-316X-2026-14-2-42-56. EDN: XNQJRO
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