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IMPROVING THE KNOWLEDGE ASSESSMENT SYSTEM BASED ON FIXED LOGIC IN TEACHING INFORMATICS TO UNIVERSITY STUDENTS

Utepbergenova, Baynazarov, Amangul Kariyevna, Begzad NurlibayevichUniversity of innovation technologies

Zenodo (CERN European Organization for Nuclear Research)repository2026uz

ABI

Annotatsiya

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

Mavzular

Educational Technology and Assessment Educational Technology and Pedagogy Intelligent Tutoring Systems and Adaptive Learning

Identifikatorlar

DOI: 10.5281/zenodo.19634080

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