Dynamic Calculation of Concept Difficulty Based on Choquet Fuzzy Integral and the Learner Model

Adaptation and personalization of information in E-learning systems plays a significant role in supporting the learner during the learning process. Most personalized systems consider learner preferences, interest, and browsing patterns for providing adaptive presentation and adaptive navigation support. However, these systems usually neglect to consider the dependence among the learning concept difficulty and the learner model. Generally, a learning concept has varied difficulty for learners with different levels of knowledge. Hence, to provide a more personalized and efficient learning path with learning concepts difficulty that are highly matched to the learner’s knowledge, this paper presents a novel method for dynamic calculation of difficulty level for concepts of the certain knowledge domain based on Choquet Fuzzy Integral and the learner knowledge and behavioral model. Finally, a numerical analysis is provided to illustrate the proposed method.