• 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