Dynamic and Personalized Curriculum-Generation Method Analysing Causality and Dependency between Learning Objects

In this paper, we show a dynamic and personalized curriculum generation method that analyses the causality and dependency between learning objects. This method calculates the strength and extracts the rules of causality and dependency between individual learning objects, described beforehand, using the results of testing, trends of understanding within a particular community, and definitions of learning objects with a learning order. This method determines the important learning objects for an individual user, and an order for effective learning, by analysing the results of an individual and those of a particular community. It dynamically computes changing relationships between learning objects and the learning situation of individual users, and enables generation of a personalized curriculum that supports effective learning.