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http://dx.doi.org/10.5391/JKIIS.2006.16.6.742

Fuzzy Inference System for the Synthesis Learning Evaluation  

Son, Chang-Sik (대구가톨릭대학교 컴퓨터정보통신공학부)
Kim, Jong-Uk (국립상주대학교 컴퓨터공학과)
Jeong, Gu-Beom (국립상주대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.6, 2006 , pp. 742-746 More about this Journal
Abstract
Evaluation of learning ability of students is classified a step of diagnostic, formative and summative evaluation. This step-by-step evaluation is the standard of synthesis judgement, from a student's prior learning of preparation state to devotion of learning process and even learning result. In this paper, we propose the method of synthesis learning evaluation which is considered evaluation of each step in using fuzzy inference. In order to get objective evaluation of learning ability, we applied to the weights by evaluation steps. And we reflected defuzzification values of final evaluation membership function interval obtained by fuzzy inference about diagnostic, formative and summative evaluation. As a result, it processes definite inference ensures objectivity and shows validity of the synthesis evaluation method.
Keywords
Diagnostic; Formative; Summative; Synthesis Evaluation; Fuzzy Inference;
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