• DocumentCode
    2042547
  • Title

    A method for determining classroom seating arrangements by using a genetic algorithm

  • Author

    Shin-Ike, Kazuhiro ; Lima, Harlley

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Maizuru Nat. Coll. of Technol., Kyoto, Japan
  • fYear
    2011
  • fDate
    13-18 Sept. 2011
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    Students in a classroom often feel an uncomfortable situation in classroom seating arrangements. This study focuses on the effects of classroom seating arrangements changes on motivation of learning and on interaction between students. In order to determine the optimal classroom seating arrangements, a genetic algorithm is applied on the basis of the questionnaire results and the analysis of the observation of behaviors between students. Our optimization problem is to determine the combination of classroom seating arrangements in such a way that the minimum of fitness rates of all students is as large as possible. Based on our proposed classroom seating arrangements, we carried out experiments at a national college of technology in Japan. It is found from the experiments that satisfaction of each student is higher than the traditional classroom seating arrangements. It is also found that each student is actually comfortable in the classroom because the relationships between students are very well.
  • Keywords
    education; genetic algorithms; human factors; psychology; National College of Technology; genetic algorithm; learning motivation; optimal classroom seating arrangement; optimization problem; student behavior; student interaction; uncomfortable situation; Biological cells; Educational institutions; Encoding; Equations; Genetic algorithms; Genetics; Optimization; Classroom seating arrangements; Genetic algorithm; Interaction between students; Learning effect; Motivation of learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2011 Proceedings of
  • Conference_Location
    Tokyo
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0714-8
  • Type

    conf

  • Filename
    6060595