A New Approach for Modeling and Discovering Learning Styles by Using Hidden Markov Model

Authors

  • Loc Nguyen

Keywords:

learning systems, heart, mechanism for discovering

Abstract

Adaptive learning systems are developed rapidly in recent years and the heart of such systems is user model User model is the representation of information about an individual that is essential for an adaptive system to provide the adaptation effect i e to behave differently for different users There are some main features in user model such as knowledge goals learning styles interests background but knowledge learning styles and goals are features attracting researchers attention in adaptive e-learning domain Learning styles were surveyed in psychological theories but it is slightly difficult to model them in the domain of computer science because learning styles are too unobvious to represent them and there is no solid inference mechanism for discovering users learning styles now Moreover researchers in domain of computer science will get confused by so many psychological theories about learning style when choosing which theory is appropriate to adaptive system

How to Cite

Loc Nguyen. (2013). A New Approach for Modeling and Discovering Learning Styles by Using Hidden Markov Model. Global Journal of Human-Social Science, 13(G4), 1–10. Retrieved from https://socialscienceresearch.org/index.php/GJHSS/article/view/609

A New Approach for Modeling and Discovering Learning Styles by  Using Hidden Markov Model

Published

2013-01-15