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 prediction should be based on academic, motivational, behavioral, and social adaptation factors. The proposed model allows for the identification of risk groups, interpretation of the causes of performance decline, and support for management decisions in an educational institution.
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 demonstrated that the use of a fuzzy-logic approach allows for the consideration of uncertainty, latency, and contextual variability of educational indicators. Indicators, scales, and an algorithm for calculating an integral index of interaction quality are proposed. A conclusion is drawn regarding the diagnostic value of the model for monitoring the educational environment.
Z. Akhmadova, Maryam Kurbanovna Magomedova· SOFT MEASUREMENTS AND COMPUT...· 0 citations
This theoretical paper presents an AI-supported fuzzy logic framework for classroom grouping and individualized instruction in primary education. The learner profile integrates three dimensions elicited via a chatbot using a three-point scale: VARK, learning preferences, and interests. Student responses are mapped to fuzzy membership values to construct a compact learner vector enabling dynamic, non-rigid classification. A Mamdani inference mechanism aggregates IF–THEN rules to generate graded recommendations across five pedagogical approaches: Project-Based Learning, Challenge-Based Learning, STEAM, Makerspace/Experiential–Collaborative Learning, and Game-Based Learning. Based on these recommendations, a grouping module supports the formation of heterogeneous or homogeneous student teams aligned with instructional goals. A simulation across varying class sizes indicates that the framework maintains low grouping time while preserving higher group-quality indicators compared to random and manual grouping strategies. The main contributions include a lightweight learner-profile model, fuzzy pedagogical recommendations, and a flexible grouping workflow complementing teacher judgment.
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 method through such a mechanism. Thus, assessing college English teaching quality is essentially an example of multi-attribute decision-making. To solve the corresponding decision problem, this paper proposes an induced interval-valued intuitionistic fuzzy Hamacher interactive ordered weighted geometric operator. Moreover, the essential mathematical properties of the novel operator are investigated. A numerical example of college English teaching quality evaluation is provided to show its operability, indicating the proposed operator's credible practical applicability under interval-valued intuitionistic fuzzy uncertainty.
Huimin 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