A Multi_Agent Advisor System for Maximizing E-Learning of an E-Course

Abstract

 Web-based learning environments have become popular in e-teaching throw WWW as a distance learning. There is an urgent need to enhance e-learning to be suitable to the level of learner knowledge. The presented paper uses intelligent multi-agent technology to advise and help learners to maximize their learning of an offered e-course. It will build its advices on the performance and level of education of learners including past and current learning. Most of advices are to guide learner to make exercises as quizzes or passing tests in different level of difficulties.

Authors and Affiliations

Khaled ElSayed

Keywords

Related Articles

 Recognition of Similar Wooden Surfaces with a Hierarchical Neural Network Structure

 The surface quality assurance check is an important task in industrial production of wooden parts. There are many automated systems applying different methods for preprocessing and recognition/classification of sur...

Wearable Computing System with Input-Output Devices Based on Eye-Based Human Computer Interaction Allowing Location Based Web Services

Wearable computing with Input-Output devices Base on Eye-Based Human Computer Interaction: EBHCI which allows location based web services including navigation, location/attitude/health condition monitoring is proposed. T...

 Iris Compression and Recognition using Spherical Geometry Image

 this research is considered to be a research to attract attention to the 3D iris compression to store the database of the iris. Actually, the 3D iris database cannot be found and in trying to solve this problem 2D...

Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications

Clustering method for remote sensing satellite image classification based on Messy Genetic Algorithm: GA is proposed. Through simulation study and experiments with real remote sensing satellite images, the proposed metho...

 Improved Text Reading System for Digital Open Universities

 The New Generation of Digital Open Universities (DOUNG) is a recently proposed model using m-learning and cloud computing option and based on an integrated architecture built with open networks as GSM and Internet....

Download PDF file
  • EP ID EP115878
  • DOI 10.14569/IJARAI.2014.030501
  • Views 87
  • Downloads 0

How To Cite

Khaled ElSayed (2014).  A Multi_Agent Advisor System for Maximizing E-Learning of an E-Course. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(5), 1-5. https://europub.co.uk/articles/-A-115878