Apply Concept Density Algorithm to Personalized Game-based Learning

Abstract

In this paper, we propose a concept density algori thm for personalized game- based learning. The use of density algorithm allows the system to compute the concept density automatically for the given content. Based on the analysis, the system provides the tutoring information and auto-generated questions t o self-assess on personalized learning. The personalized learning flow generated by the den sity algorithm fits perfectly to the gaming flow. Moreover, the proposed algorithm achie ves the adaptive learning from the concept level of learning.