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 102
- Downloads 0
Convolutional Neural Network Architecture for Plant Seedling Classification
Weed control is a challenging problem that may face crops productivity. Weeds are perceived as an important problem because they conduce to reduce crop yields due to the expanding competition for nutrients, water, and su...
Cross Language Information Retrieval Model for Discovering WSDL Documents Using Arabic Language Query
Web service discovery is the process of finding a suitable Web service for a given user’s query through analyzing the web service‘s WSDL content and finding the best match for the user’s query. The service query should b...
Securing Cognitive Radio Vehicular Ad Hoc Network with Fog Node based Distributed Blockchain Cloud Architecture
Cognitive radio, ad hoc networks' applications are continuously increasing in wireless communication globally. In vehicles' environment, cognitive radio technology with mobile ad hoc networks (MANETs) enables vehicles to...
A New Strategy of Validities’ Computation for Multimodel Approach: Experimental Validation
The evaluation of validities is a fundamental step in the design of the multimodel approach. Indeed, it is thanks to validities that we estimate the contribution of each base-model in the reproduction of the behavior of...
Separability Detection Cooperative Particle Swarm Optimizer based on Covariance Matrix Adaptation
The particle swarm optimizer (PSO) is a population-based optimization technique that can be widely utilized to many applications. The cooperative particle swarm optimization (CPSO) applies cooperative behavior to i...