Fuzzy logic is shown to provide more flexible assessments compared to rigid scale procedures, and a system of input linguistic variables, a database of expert rules, and an integrated motivation indicator are proposed.
Abstract
This article presents a fuzzy logic model for assessing university students' academic motivation. This model allows for the interpretation of motivational states as complex, ambiguous, and partially formalizable socio-pedagogical phenomena. The methodological framework is based on the measurement of students' academic motivation, including the approaches of T.O. Gordeeva, O.A. Sychev, and E.N. Osin, who developed the "Academic Motivation Scale" questionnaire using a sample of university students. A system of input linguistic variables, a database of expert rules, and an integrated motivation indicator are proposed. Fuzzy logic is shown to provide more flexible assessments compared to rigid scale procedures.
This article examines a soft computing model designed to predict the academic success of first-year students under conditions of educational data uncertainty. The need to combine fuzzy logic, expert assessment, and intelligent analysis of educational data is substantiated. It is shown that academic performance predicti...
Z. Minazova, Tokhiriyon Boisdzhoni, N. N. Danko· SOFT MEASUREMENTS AND COMPUT...· 0 citations
A fuzzy logic-based student evaluation system that considers multiple performance parameters such as attendance, assignment scores, internal assessments, and examination marks is presented.
Nisha Agrawal, Neha Yadav· International journal of re...· 0 citations
This article substantiates a model for soft measurement of the quality of educational interactions between teachers and students as a multidimensional socio-pedagogical phenomenon. The cognitive, communicative, motivational, emotional-psychological, and reflective criteria of interaction are explored. It is demonstrate...
Z. Akhmadova, Maryam Kurbanovna Magomedova· SOFT MEASUREMENTS AND COMPUT...· 0 citations
An AI-supported fuzzy logic framework for classroom grouping and individualized instruction in primary education, including a lightweight learner-profile model, fuzzy pedagogical recommendations, and a flexible grouping workflow complementing teacher judgment is presented.
Maria Grigori, K. Ntalianis, N. Mastorakis· International Journal of Edu...· 0 citations
The college English teaching quality evaluation is a prerequisite to improving teaching efficiency and promoting students' academic performance. Systematic teaching method inspection, syllabus design, and in-class interaction provide constructive suggestions for teachers to improve the syllabus framework and teaching m...
Hui-Min Tian· International Journal of Inf...· 0 citations
A hierarchical student evaluation enhanced decision-making model which is based on a zero-order fuzzy classifier as the construction unit and achieves the collaborative optimization of evaluation efficiency and interpretability is proposed.
Aiqin Wang, Wenliang Li· Journal of Advanced Computat...· 0 citations
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