• DocumentCode
    3763663
  • Title

    Method to Detect Abnormal Learning Behavior Inspired by Artificial Immune Systems

  • Author

    Yang He;Tang Hongliang

  • Author_Institution
    Comput. Sch., Hubei Univ. of Educ., Wuhan, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    94
  • Lastpage
    98
  • Abstract
    With the development of information technology in education, teaching is no longer face to face. Detecting abnormal learning behavior in time is valuable for the adjustment of teaching strategies. Because of the individual differences in learning behavior, it is difficult to measure with a unified standard. Artificial Immune Systems are abnormal detecting models which are inspired by Biosystem, it is normally used abnormal detection. The changes of learning behavior are taken as danger signals, Artificial Immune Systems fusing danger signals and presenting alarms for abnormal learning behaviors.
  • Keywords
    "Immune system","Education","Learning (artificial intelligence)","Face","Data mining","Uniform resource locators"
  • Publisher
    ieee
  • Conference_Titel
    Educational Technology (ISET), 2015 International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISET.2015.27
  • Filename
    7439643