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 :
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