Adaptive E-learning using Deterministic Finite Automata
Pratima Sarkar, Chinmoy Kar · International Journal of Computer Applications · 2014
Adaptive E-learning refers to adapt the way of presentation of educational material according to the student's needs.Understanding ability differs by student to student so the learning path should vary according to their understanding ability.Some students may understand by once some may needs more with different way.This paper represents a same topic with various approaches to the different classes of students with different understanding ability.The proposed approach in this paper is based on two concepts Deterministic Finite Automata (DFA) and Case Based Study (CBS), out of which DFA used for providing adaptive nature and shows the state transition according to their performance.Path of leaning varies with different student for a particular topic, this feature used to provide adaptively nature in E-learning.CBS used for providing study material based on the state.CBS uses case library to decide the study material.