- Сенчишен, Денис (orcid.org/0000-0002-4311-7095), Лемещук, Олександр (orcid.org/0000-0002-9876-3502), Кондур, Оксана (orcid.org/0000-0001-9342-1127) and Яцків, Наталія (orcid.org/0000-0002-2895-4370) (2025) Analysis module of surveyors of small-complete groups Information Technologies and Learning Tools, 1 (105). pp. 37-51. ISSN 2076-8184
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Денис Сенчишен, Олександр Лемещук, Оксана Кондур, Наталія Яцків.pdf - Published Version Download (656kB) |
Abstract
Feedback is one of the most effective tools for quality control in education, widely used in higher education institutions in Ukraine and worldwide. It allows gathering information about students' perception of educational materials and analyzing learning outcomes. Feedback can pertain to an entire discipline, a specific semester, a module where the discipline is taught, or even a single lesson. There is a wide range of mathematical methods, models, and ready-made software libraries available for conducting high-quality analysis of feedback results. Most of these require a sufficient amount of data for processing. However, in higher education institutions in Ukraine, including Kherson State University, some specialties have academic groups with a small number of students, insufficient for applying most traditional analysis methods. To obtain information about the efficiency of the educational process in such groups, comparable in quality to groups with a sufficient number of students, it is necessary to use specialized analysis methods. The article describes methods for analyzing feedback results in the form of surveys within the KSU24 system, which consider a relatively small number of respondents. Approaches to the software implementation of relevant algorithmic methods and architectural solutions for developing the survey module in the KSU24 system are discussed. The importance of ensuring anonymity in this process is emphasized, as integrity among participants is a critical requirement for obtaining high-quality feedback when processing relatively few responses. The developed survey analysis module provides quality assurance departments, as well as department and faculty management, with software tools that enable timely evaluation of the survey process, especially in online mode. In the current version of the module, analysis results are generated based on completed surveys and presented on a dedicated page, accessible depending on the user's role in the system. The practical value for academic staff lies in the ability to quickly respond and make adjustments to educational and methodological materials based on up-to-date information directly from participants in the educational process.
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