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Research Article | Open Access |

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

Author 1: Khaled Nasser ElSayed
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 3, No. 5 · Published 2014

DOI: https://doi.org/10.14569/IJARAI.2014.030501

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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.

Keywords

AI Agent Multi_Agents distant learning e-Learning e-Teaching Education e-Course

How to Cite this Article

ElSayed, K. N. (2014). A Multi_Agent Advisor System for Maximizing E-Learning of an E-Course. International Journal of Advanced Research in Artificial Intelligence, 3(5). https://doi.org/10.14569/IJARAI.2014.030501

ElSayed, Khaled Nasser. "A Multi_Agent Advisor System for Maximizing E-Learning of an E-Course." International Journal of Advanced Research in Artificial Intelligence, vol. 3, no. 5, 2014, https://doi.org/10.14569/IJARAI.2014.030501.

@article{ElSayed2014,
  title     = {A Multi_Agent Advisor System for Maximizing E-Learning of an E-Course},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {3},
  number    = {5},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Khaled Nasser ElSayed},
  doi       = {10.14569/IJARAI.2014.030501},
  url       = {https://doi.org/10.14569/IJARAI.2014.030501}
}

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