International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)

IJCRSEE Editorial Team; Nenad Jovanović; Stefan Jovanović; Srećko Stamenković; Dražen Marinković; Negovan Stamenković

doi:10.23947/2334-8496-2025-13-1-175-190

Authors

Nenad Jovanović Faculty of Technical Sciences, University of Pristina, Kosovska Mitrovica, Serbia https://orcid.org/0000-0002-8872-7516
Stefan Jovanović Faculty of Electronic Engineering, University of Nis, Serbia https://orcid.org/0009-0008-4513-528X
Srećko Stamenković Toplica Academy of Applied Studies, Department of Business Studies Blace, Serbia https://orcid.org/0000-0002-0933-4379
Dražen Marinković University MB, Belgrade, Serbia https://orcid.org/0009-0006-8001-2168
Negovan Stamenković Faculty of Sciences and Mathematics, University of Pristina, Kosovska Mitrovica, Serbia https://orcid.org/0000-0003-4025-5342

DOI:

https://doi.org/10.23947/2334-8496-2025-13-1-175-190

Keywords:

Support Vector Machine, educational technology, algorithm visualization, simulation systems, educational tools

Abstract

In this paper, we present a web application designed for learning and visualizing Support Vector Machine (SVM) algorithms, which are key components in the fields of machine learning and data processing. The application was developed as an interactive tool that allows students and researchers to experiment with SVM models, providing insight into their structure and functionality. By using modern web technologies, the application offers a user environment that is accessible, intuitive, and adaptable for learning and research. In addition to implementing a web tool for learning the SVM algorithm, this study proposes a method for its application in teaching and analyzes the impact of applying the new interactive method on final learning outcomes. To assess the effectiveness of this tool, an experiment was conducted consisting of three phases: pre-testing, training, and post-testing. To evaluate students’ experiences with the applied alternative learning method using the auxiliary tool and their perception of the software system’s effectiveness, the standardized System Usability Scale (SUS) was used.

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