1. in Intelligent Tutoring Systems with Fuzzy Logic Techniques
UNIVERSITY OF REGINA
FACULTY OF ENGINEERING
W I S E LAB
Knowledge Evaluation
in Intelligent Tutoring Systems with Fuzzy Logic Techniques
Zhang Ying (Jasmine)
Dr. Rene V. Mayorga
2003
2019/2/19
Introduction to Intelligent Systems

2. Introduction of Knowledge Evaluation in ITS
Intelligent Tutoring Systems:
An ITS (Intelligent Tutoring System) is a computer program that use techniques of AI (Artificial Intelligence) to teach a person.
The main aim of student knowledge evaluation in ITS is the determination of its knowledge level, along with appropriate mark.
For avoiding and reducing inaccuracy at evaluations of knowledge in the system, we use the fuzzy logic techniques.
2019/2/19
Introduction to Intelligent Systems

3. The Framework of Knowledge Evaluation in ITS
2019/2/19
Introduction to Intelligent Systems

4. Inputs of Knowledge Evaluation in ITS
The difficult levels of every question (four levels):
- Beginning level
- Average difficulty level
- Increased difficulty level
- Expert level
The “correctness” of answer to the question (four levels):
- True
- Half-true
- Wrongly
- False
The time of answer to every question:
- In time
- Delay
2019/2/19
Introduction to Intelligent Systems

5. Outputs of Knowledge Evaluation in ITS
The current mark of student in the test (five levels)
- Failed
- Below average
- Average
- Above average
- Excellent
The choice of the next question at necessary level (four levels)
- Beginning level
- Average difficulty level
- Increased difficulty level
- Expert level
2019/2/19
Introduction to Intelligent Systems

6. The Fuzzy Inference System Editor
2019/2/19
Introduction to Intelligent Systems

7. Introduction to Intelligent Systems
The Rule Editor
2019/2/19
Introduction to Intelligent Systems

8. The Surface Viewer Inputs: Output: Difficult Level and Correctness
Mark
With gaussmf
2019/2/19
Introduction to Intelligent Systems

9. The Surface Viewer Inputs: Output: Difficult Level and Correctness
Choice
With gaussmf
2019/2/19
Introduction to Intelligent Systems

10. The Surface Viewer Inputs: Output: Difficult Level and Time Mark
With gaussmf
2019/2/19
Introduction to Intelligent Systems

11. The Surface Viewer Inputs: Output: Difficult Level and Time Choice
With gaussmf
2019/2/19
Introduction to Intelligent Systems

12. Introduction to Intelligent Systems
The Surface Viewer
Inputs:
Correctness and Time
Output:
Mark
With gaussmf
2019/2/19
Introduction to Intelligent Systems

13. Introduction to Intelligent Systems
The Surface Viewer
Inputs:
Correctness and Time
Output:
Choice
With gaussmf
2019/2/19
Introduction to Intelligent Systems

14. The Interface of the Knowledge Evaluation System
2019/2/19
Introduction to Intelligent Systems

15. Introduction to Intelligent Systems
Thanks !
2019/2/19
Introduction to Intelligent Systems