doi: 10.7763/IJMLC.2012.V2.187
Optimization of Educational Systems Using Knapsack Problem
- Isfahan Mathematics House, Isfahan, Iran.
Abstract
The problem of automatically integrating adaptive content into different courses and curricula, thus exploiting the potential of the Internet in education is important. Learners' knowledge level is approached through a qualitative model of the level of performance that learners exhibit with respect to the concepts which are studied and are used to adapt the lesson contents and the navigation support. Learners' individual traits and especially their learning style represent the way learners perceive and process information, and are exploited to adapt the presentation of the educational material of a lesson. This paper proposes a new method to help learners find educational contents more adapted to their personalities in an efficient manner.
Keywords
- Adaptive learning
- Bayesian networks
- 0/1 Knapsack
- Branch and bound algorithm
- Sequencing
- Elearning
How to Cite
Nasim Zandi Atashbar and Fahimeh Rahimi, "Optimization of Educational Systems Using Knapsack Problem," International Journal of Machine Learning, vol. 2, no. 5, pp. 552-555, 2012. https://doi.org/10.7763/IJMLC.2012.V2.187
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).