Fuzzy Logic-BasedStudents’ Learning   Assessment    Aung Thu Rha Hein        g5536871
Outline Introduction Fuzzy System Framework of practical Learning System for  computer discipline Implementation of pr...
IntroductionMotivation in order to classify students’ learning level and  arrange the appropriate information for student...
Fuzzy System membership functions are applied in  Fuzzification Use Centroid Method for Defuzzification Use 25 fuzzy ru...
Framework of practical LearningSystem for computerdiscipline(ITS) The framework is composed of six components
Structure of inference engineusing fuzzy system
IMPLEMENTATION OF PROPOSEDMETHOD Five-level rating scales questionnaire was used to  design the fuzzy rules Each inputs ...
Membership Functions(input) Test Score Duration(Time)
Membership function(output) Result
Fuzzy rule sets
Prototype Implementation 26 students were examined a paper test ,that  have 10 items within 15 minutes Paper is categori...
Conclusions & Opinions Compared with results from 2 methods 16 results shown the same result Even though student No.10 ...
Thank You          &Today is my birthday!!
Fuzzy logic based students’ learning assessment
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Fuzzy logic based students’ learning assessment

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Transcript of "Fuzzy logic based students’ learning assessment"

  1. 1. Fuzzy Logic-BasedStudents’ Learning Assessment Aung Thu Rha Hein g5536871
  2. 2. Outline Introduction Fuzzy System Framework of practical Learning System for computer discipline Implementation of proposed methods Prototype Implementation Conclusion & Opinions
  3. 3. 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
  4. 4. Fuzzy System membership functions are applied in Fuzzification Use Centroid Method for Defuzzification Use 25 fuzzy rule sets
  5. 5. Framework of practical LearningSystem for computerdiscipline(ITS) The framework is composed of six components
  6. 6. Structure of inference engineusing fuzzy system
  7. 7. IMPLEMENTATION OF PROPOSEDMETHOD Five-level rating scales questionnaire was used to design the fuzzy rules Each inputs determine five intervals of membership functions
  8. 8. Membership Functions(input) Test Score Duration(Time)
  9. 9. Membership function(output) Result
  10. 10. Fuzzy rule sets
  11. 11. 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
  12. 12. 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
  13. 13. Thank You &Today is my birthday!!

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