An augmented prerequisite concept relation map design to improve adaptivity in e-learning

Abstract

Due to the advancement in information and communication technology and vast varied learner group, e-learning has become popular. For achieving the adaptivity in learning, predefined concept map is used to provide proper guidance. In most of the researches, weight of concepts in each learning item is not properly considered. In this study, a three phase prerequisite concept map formulation for adaptivity is proposed. This approach is a most efficient one, since the first phase discards all the unrelated items which may distract the further analysis. Here, Norm-referencing in Item Analysis approach is used to find the item discrimination for elimination of irrelevant items. The second phase, computes all the grade association rules. The weight of concept in each learning item is considered and prerequisite concept sets are found which is not having any redundancy and cyclic in its map, thereby facilitating the next step of procedure. The final phase constructs the concept map with maximum confidence in a capable manner. Finally, the Prerequisite concept map can be used in tutoring system, thereby enhancing the adaptivity in e-learning.