A Web Application for Learning Support Vector Machine Algorithms in Computer Engineering
Автор: Nenad Jovanović, Stefan Jovanović, Srećko Stamenković, Dražen Marinković, Negovan Stamenković
Журнал: International Journal of Cognitive Research in Science, Engineering and Education @ijcrsee
Рубрика: Original research
Статья в выпуске: 1 vol.13, 2025 года.
Бесплатный доступ
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.
Support Vector Machine, educational technology, algorithm visualization, simulation systems, educational tools
Короткий адрес: https://sciup.org/170209053
IDR: 170209053 | DOI: 10.23947/2334-8496-2025-13-1-175-190