Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 9
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.
Authors and Affiliations
Amal Battou , Ali El Mezouary , Chihab Cherkaoui , Driss Mammass
Keywords
Related Articles
- EP ID EP145219
- DOI -
- Views 112
- Downloads 0
Exploring Factors Associated with Voucher Program for Speech Language Therapy for the Preschoolers of Parents with Communication Disorder using Weighted Random Forests
It is necessary to identify the demand level of consumers and recognize the support target priority based on it in order to provide efficient services with a limited budget. This study provided baseline data for spreadin...
Relationship Analysis on the Experience of Hospitalised Paediatric Cancer Patient in Malaysia using Text Analytics Approach
The purpose of this study is to analyse the keyword relationships of paediatric cancer patient’s experiences whilst being hospitalised during the treatment session. This study collects data through 40 days of observation...
Learning on High Frequency Stock Market Data Using Misclassified Instances in Ensemble
Learning on non-stationary distribution has been shown to be a very challenging problem in machine learning and data mining, because the joint probability distribution between the data and classes changes over time. Many...
Reliable and Energy Efficient MAC Mechanism for Patient Monitoring in Hospitals
In medical body area network (MBAN) sensors are attached to a patient’s body for continuous and real-time monitoring of biomedical vital signs. Sensors send patient’s data to hospital base station so that doctors/caregiv...
New Hybrid Task Scheduling Algorithm with Fuzzy Logic Controller in Grid Computing
Distributed heterogeneous architecture is extensively applied to a diversity of large scale research projects conducive to solve complex computational problems. Mentioned distributed systems consist of multiple heterogen...