Automated adaptive learning using smart shortest path algorithm for course units

Abstract

The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.