Generic E-Learning Data Structure and Web Teaching

Agent technology is a software entity with selfadaptation and intelligence that can accomplish a task by means of initiative service on behalf of users. The purpose of this paper is to formulate a functional architecture that supports the e-learning objectives: study individually and cooperatively, anytime and anywhere, guide specific individuals to their most relevant community. In order to make the work more efficient and to improve the performance an answering system is designed that does an intelligent search using algorithms like full text based search, word segmentation and fuzzy search. It displays the result by analyzing the user's profile, experience and users needs so that the he is fully satisfied. It is made possible using Case Base Reasoning (CBR) technique. A decentralized search engine is also built on top of grid technology with the help of software agents that allows the user to search through heterogeneous resources stored in geographically distributed digital collections.

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Developing e-Learning System using Mobile Agent Technology

Al-Sakran

2006 2nd International Conference on Information &Amp; Communication Technologies

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The purpose of this paper is to formulate a functional architecture that supports the e-learning objectives: study individually and cooperatively, anytime and anywhere, guide specific individuals to their most relevant community or communities of knowledge. The proposed architecture is based on using mobile agent technology integrated with Case-Based Reasoning (CBR) approach. This architecture gives users the ability to collect, share, distribute and reuse e-learning knowledge from heterogenous knowledge bases. The mobile agent technology is particularly suitable for developing distributed e-learning systems because it supports intelligent and distributed storage, allows an optimal personalized e-learning environment, and enhances modularity, reusability, flexibility and reliability. The model is employing CBR method to find a case in case base that is similar to the current problem.

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Generic E-Learning Data Structure and Web Teaching

Cited by 4 publications

References 12 publications

E-learning for MEMS graduate course - Challenges, difficulties and benefits

E-learning for MEMS graduate course - Challenges, difficulties and benefits

Design of an Intelligent Answering System Through Agent Based Search Engine Using Grid Technology

Developing e-Learning System using Mobile Agent Technology

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