November 2025
Improving students’ spatial perception through CAD software in geometry and stereometry education
2025, vol.17 , no.4, pp. 15-22
Article [2025-04-02]
The paper presents the application of CAD software to visualize and enhance understanding of spatial geometric concepts in stereometry education. Integrating CAD tools improves spatial thinking, supports teaching effectiveness, and helps overcome students’ difficulties with mental transformations and interpreting 2D representations. As part of the STEM framework, CAD integration aids in visualizing and analysing 3D objects while fostering analytical and engineering thinking. The study highlights the benefits of CAD systems for exploring spatial rotations, symmetries, and metric characteristics. This approach not only deepens students’ comprehension of abstract geometry but also develops practical skills relevant to future careers in technology and engineering. The findings are based on an experimental study conducted with 48 university students using both traditional and CAD-based teaching methods.
Tsvetoslav Tsankov, Liliya Staneva. Improving students’ spatial perception through CAD software in geometry and stereometry education. International Journal on Information Technologies and Security, vol.17 , no.4, 2025, pp. 15-22.
Modular architecture for open research platforms: A case study of RARS with POCOS, data mappers, and repository patterns
2025, vol.17 , no.4, pp. 3-14
Article [2025-04-01]
The emergence of open research platforms requires modular, sustainable architecture to foster collaboration, interoperability, and reproducibility. Earlier work proposed the Research Access and Resource Sharing (RARS) platform as a digital answer to financial bottlenecks in research by resource sharing and collaborative infrastructures. Extending that work, this article reports on the architectural innovation of RARS through the use of structured software engineering concepts—such as Plain Old C# Objects (POCOs), Data Mappers, and the Repository Pattern—for backend modularization. This is the first detailed architectural examination of RARS with an emphasis on maintainability, developer on boarding, and FAIR compliance. UML diagram samples demonstrate how this method promotes extensibility, separates data layers, and facilitates prospective interoperability with sophisticated research data infrastructures. Our contribution is providing a reusable architectural template for open research platform developers, bridging the gap between socio-technical platform requirements and backend software architecture.
Agon Memeti, Eva Cipi, Hakan Rexhepi, Artina Kamberi. Modular architecture for open research platforms: A case study of RARS with POCOS, data mappers, and repository patterns. International Journal on Information Technologies and Security, vol.17 , no.4, 2025, pp. 3-14.