Fuzz

1. Fuzzy Logic-Based
Students’ Learning
Assessment
Aung Thu Rha Hein
g5536871

2. Outline
 Introduction
 Fuzzy System
 Framework of practical Learning System for
computer discipline
 Implementation of proposed methods
 Prototype Implementation
 Conclusion & Opinions

3. 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

4. Fuzzy System
 membership functions are applied in
Fuzzification
 Use Centroid Method for Defuzzification
 Use 25 fuzzy rule sets

5. Framework of practical Learning
System for computer
discipline(ITS)
 The framework is composed of six components

6. Structure of inference engine
using fuzzy system

7. IMPLEMENTATION OF PROPOSED
METHOD
 Five-level rating scales questionnaire was used to
design the fuzzy rules
 Each inputs determine five intervals of membership
functions

8. Membership Functions(input)
 Test Score
 Duration(Time)

9. Membership function(output)
 Result

10. Fuzzy rule sets

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

13. 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

14. Thank You
&
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