FUZZY MODELING TO ASSIST IN ASSESSING SCHOOL PERFORMANCE
DOI:
https://doi.org/10.56238/arev8n2-082Keywords:
Educational Metrics, Decision Making, Learning IndicatorsAbstract
School assessment remains one of the major challenges in measuring student performance. Among the types of assessment, objective assessments, of a quantitative nature, and subjective assessments, considered qualitative, stand out. One of the challenges in education is measuring these two criteria, assigning a substantial evaluation to the student. In this context, this work presents a fuzzy model capable of integrating objective and subjective data in measuring school performance. The proposed model incorporates three criteria: Attendance, Grade, and Participation, combined into a set of 27 rules and applied through a Takagi-Sugeno inference system. The model's efficiency is proven through tests, whose results indicate consistency between the evaluative variables used in the modeling. In addition to being an important tool to assist teachers in their evaluative decisions, the model allows adjustments to its parameters and variables, and can be adapted to new educational contexts.
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