Learningas Construction of Personalized Cognitive Structures

Abstract

Among the many factors that influence learning efficiency, the cognitive structure of learners is the most important. In order to solve common problems in online learning systems, this article puts forward a new approach to build knowledge as an individualized cognitive structure. Firstly, the formal subject knowledge structure is defined, and then we enrich it through attribute extensions so that it meets personalized and dynamic learning needs. Secondly, we subdivide the personalized cognitive structure hierarchically for the sake of learning efficiency. Finally, we propose a method to measure the learning dynamics between concept nodes; that enable the online learning system to calculate the learning expectation about the new knowledge point in the light of the learner's current cognitive level. Thus, the system can introduce the appropriate next learning objective for learners and improve the adequacy of future online learning.