Simulation of learning effects of adaptive learning

Abstract

Abstract In this research, we propose a teaching simulation on the complex doubly structural network with adaptive learning and verify the effect of the adaptive learning environment. The teaching simulation on the complex doubly structural network is a method to verify the learning effect in the learning environment. The simulation model has an internal network and a social network. As a result of experiments, we found that the adaptive learning model has a significantly lower average number of teachings than the lecture model. Lessons tailored to individual’s understanding lead to improved learning effects. And adding the support of teacher to adaptive learning contributes to improving learning efficiency. It is important to properly design the entire learning environment while combining various mechanisms. And there are cases where the placement effect is large and cases where the placement effect is small depending on the learning environment. The learning effect of the mechanism varies depending on the learning environment.