Abstract: To achieve the adaptability required in ALS, adaptive learning system (ALS) takes advantage of granular and reusable content. The main goal of this paper is to examine the learning object granularity issue which is directly related with Learning Object (LO) reusability and the adaptability process required in ALS. For that purpose, we present the learning objects approach and the related technologies. Then, we discuss the fine-grained as a fundamental characteristic to reach the adaptability and individualization required in ALS. After that, we present some learning object granularity approaches in the literature before presenting our granularity approach. Finally, we propose an example of implementation of our approach to test its ability to meet the properties associated with fine-grained and adaptability.

Amal Battou, Ali El Mezouary, Chihab Cherkaoui and Driss Mammass, “Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 2(9), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020902

@article{Battou2011,
title = {Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020902},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020902},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {9},
author = {Amal Battou and Ali El Mezouary and Chihab Cherkaoui and Driss Mammass}
}