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Outline Introduction Fuzzy System Framework of practical Learning System for computer discipline Implementation of proposed methods Prototype Implementation Conclusion & Opinions
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IntroductionMotivation in order to classify students’ learning level and arrange the appropriate information for studentsProposition the students’ learning assessment by using fuzzy logic and framework of practical learning system
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Fuzzy System membership functions are applied in Fuzzification Use Centroid Method for Defuzzification Use 25 fuzzy rule sets
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Framework of practical LearningSystem for computerdiscipline(ITS) The framework is composed of six components
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Structure of inference engineusing fuzzy system
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IMPLEMENTATION OF PROPOSEDMETHOD Five-level rating scales questionnaire was used to design the fuzzy rules Each inputs determine five intervals of membership functions
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Membership Functions(input) Test Score Duration(Time)
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Prototype Implementation 26 students were examined a paper test ,that have 10 items within 15 minutes Paper is categorized into three level: Knowledge level Comprehension level Application level Make comparison with T-Score method
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Conclusions & Opinions Compared with results from 2 methods 16 results shown the same result Even though student No.10 have the highest score among all of 25, the result shows only ‘Fair’ in the proposed method Therefore, using ‘Time’ as a parameter is not the ideal way to measure the student’s knowledge and learning’s level
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