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Fuzzy Logic-Based
Students’ Learning
   Assessment
    Aung Thu Rha Hein
        g5536871
Outline
 Introduction
 Fuzzy System
 Framework of practical Learning System for
  computer discipline
 Implementation of proposed methods
 Prototype Implementation
 Conclusion & Opinions
Introduction

Motivation
 in order to classify students’ learning level and
  arrange the appropriate information for students
Proposition
 the students’ learning assessment by using fuzzy
  logic and framework of practical learning system
Fuzzy System




 membership functions are applied in
  Fuzzification
 Use Centroid Method for Defuzzification
 Use 25 fuzzy rule sets
Framework of practical Learning
System for computer
discipline(ITS)
 The framework is composed of six components
Structure of inference engine
using fuzzy system
IMPLEMENTATION OF PROPOSED
METHOD
 Five-level rating scales questionnaire was used to
  design the fuzzy rules




 Each inputs determine five intervals of membership
  functions
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 categorized into three level:
     Knowledge level
     Comprehension level
     Application level
 Make comparison with T-Score method
Fuzzy logic based students’ learning assessment
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
Thank You
          &
Today is my birthday!!

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Fuzzy logic based students’ learning assessment