Generation of Adaptive Learning Path based on Concept Map and Immune Algorithm

In recent years, the research of adaptive learning path has drawn a lot of attentions, which organizes the learning resources in accordance with the learner's attributes. As a result, it is quite necessary to find an efficient implementation approach for generating the adaptive learning path. In this paper, we first create a learner-centered concept map by graph theory. Then learning object (LO) is applied as an organization model for learning resource and we apply the immune algorithm (IA) into its selection to generate the optimal learning path. The simulation results show that the proposed approach is effective for adaptive learning path generation.