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FUZZY LOGIC AS A TOOL FOR ASSESSING GROUP WORK OF IT STUDENTS
(Manuscript, 2025) Khlapuk, Artur
This paper investigates an approach to assessing student performance in team projects based on the mathematical apparatus of fuzzy logic. The relevance of the work is driven by the need to improve student assessment processes in group projects, particularly in the field of IT education, where teamwork is a key element of professional training. The proposed model allows to take into account the multidimensionality of assessment parameters, such as technical competence, communication skills, initiative, teamwork, time management, and analytical skills. Each parameter is represented as a set of levels, which allows for an objective consideration of both the strengths and weaknesses of the student. The modeling has confirmed that the system provides flexibility in taking into account various parameters of student performance, fair distribution of grades, and individual feedback. The proposed approach can be successfully applied in the field of education to create more fair and adaptive assessment systems, particularly in the field of IT and engineering, where teamwork is a key component of the learning process. This work can be continued in the direction of scaling the model to other areas, such as medicine, law, etc., where group work is also an important element of professional activity.