IMPROVING THE KNOWLEDGE ASSESSMENT SYSTEM BASED ON FIXED LOGIC IN TEACHING INFORMATICS TO UNIVERSITY STUDENTS
Utepbergenova, Baynazarov, Amangul Kariyevna, Begzad NurlibayevichUniversity of innovation technologies
ABI
Abstract
This article examines the improvement of knowledge assessment systems in teaching computer science at higher education institutions based on fuzzy logic theory. The shortcomings of traditional binary assessment systems are analyzed, and an objective assessment model is proposed through linguistic variables, membership functions, and defuzzification methods. Experimental results confirmed the effectiveness of the proposed methodology
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