Модуль Аналізу Опитувань Здобувачів Малокомплектних Груп У Системі Ksu24
Year: 2025
Type: article
Abstract: Feedback is one of the most effective tools for quality control in education, used by higher education institutions in Ukraine and around the world. It enables the collection of information regarding students' perception of educational materials and facilitates analysis of learning outcomes for a better understanding of the current effectiveness of a specific discipline or educational component within an academic program, with the goal of improving the quality of the discipline and, thus, the overall academic program. Feedback can relate to an entire discipline, a specific semester, the module in which the discipline is taught, or even an individual class session. A wide range of mathematical methods and models, as well as ready-made software libraries, allow for qualitative analysis of feedback results, with most requiring an adequate amount of information for processing. However, in Ukrainian higher education institutions, including Kherson State University, there are academic groups in certain specialties where the number of students is insufficient for applying most analytical methods, especially at the master’s level or higher, or in elective disciplines. To obtain information on learning effectiveness in these groups, equivalent to that in groups with a sufficient number of students, specialized analysis methods are needed. The article describes methods for analyzing feedback results in the form of surveys within the KSU24 system, allowing for consideration of relatively small student groups. It discusses approaches for the software implementation of relevant algorithmic methods and necessary architectural solutions for building a survey module within the KSU24 system. A key functional requirement of this module is ensuring anonymity in the process, as integrity among participants is critically important for obtaining high-quality feedback, especially when processing a limited number of results.
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408034184