DocumentCode
2749013
Title
Evaluating Students´ Learning Progress by Using Fuzzy Inference System
Author
Goodarzi, Mahdi Hassani ; Amiri, Akram
Author_Institution
Comput. Eng. Dept, Azad Islamic Univ., Tehran, Iran
Volume
3
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
561
Lastpage
565
Abstract
Having an effective system for evaluating the learning progress of students is an essential key to realizing the goals of education. In recent years, many researchers proposed many fuzzy inference methods for students´ learning progress evaluation. In this paper, a new fuzzy inference system for evaluating the learning progress is proposed. In the proposed system, difficulty, importance and complexity of a question is determined by fuzzification, fuzzy inference and defuzzification. Since the proposed system is simple, transparent and easy to implement, it provides a novel solution to students´ learning progress evaluation.
Keywords
educational computing; fuzzy logic; fuzzy reasoning; fuzzy systems; inference mechanisms; learning (artificial intelligence); defuzzification; fuzzification; fuzzy inference system; students learning progress evaluation; Educational technology; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Gravity; Hybrid intelligent systems; Knowledge engineering; Systems engineering education; fuzzy expert system; fuzzy inference; fuzzy rueles; student evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.313
Filename
5359041
Link To Document