Title: Intelligent information system to ensure quality in higher education institutions, towards an automated e-university

Authors: Mohamed Elhoseny; Noura Metawa; Ashraf Darwish; Aboul Ella Hassanien

Addresses: Faculty of Computers and Information Sciences, Mansoura University, Egypt ' College of Business Administration, University of New Orleans, New Orleans, USA ' Faculty of Science, Helwan University, Egypt ' Faculty of Computers and Information, Cairo University, Egypt

Abstract: Despite great efforts to assure quality in higher education institutions, the ambiguity of its related concepts and requirements constitute a big challenge when trying to implement it as an intelligent information system. The present work introduces a framework for an intelligent information system that manages the quality assurance in higher education's institutions. The aim of designing such a system is to provide an automation tool that avoids unnecessary and redundant tasks associated to quality in higher education institutions. In addition, the proposed system helps all higher education stockholders to handle and monitor their tasks. Moreover, it aims to help the quality assurance units in a higher education institution to apply their quality's standards and to make sure that they are being maintained and enhanced. This information system contains a core module and 18 sub-modules, which are described in detail. Finally, the characteristics and components of each of these sub-modules are also discussed.

Keywords: intelligent information system; quality management process; e-learning; e-university.

DOI: 10.1504/IJCISTUDIES.2017.089049

International Journal of Computational Intelligence Studies, 2017 Vol.6 No.2/3, pp.115 - 149

Received: 24 Mar 2017
Accepted: 15 Jun 2017

Published online: 29 Dec 2017 *

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