Method to Detect Abnormal Learning Behavior Inspired by Artificial Immune Systems

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.