Synoptic Adaptation Framework for E-learning Administration Using BFS and DFS

  • S. Celine, M. Maria Dominic, M. Savitha Devi

Abstract

E-Learning system embarks on the progress to the adaptable system which asserts or colonized the learner’s cognizance. System conjectures the features of the learners then recognize the inclination of the learner and spontaneously generate an idiomatic learning path, custom-tailored learning content to the needs of an individual. This is known as adaptation. The intention of this investigation is to contribute a synoptic e-learning administration framework that exteriorizes the learning experience incoherent way by applying Breath-First search and Depth-First Search in AI technique to provoke a dynamic learning path which is a feasible learning path to the learner. This feasible path is convenient for the learners with three learning styles namely Auditory, Visual, and Kinesthetic.

Published
2020-03-30
How to Cite
S. Celine, M. Maria Dominic, M. Savitha Devi. (2020). Synoptic Adaptation Framework for E-learning Administration Using BFS and DFS. International Journal of Advanced Science and Technology, 29(3), 10842 - 10854. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/27972
Section
Articles