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Comparative Frameworks for Monitoring Quality Assurance in Higher Education Institutions using Business Intelligence

Sorour, Ali, ATKINS, Anthony, STANIER, Clare and Alharbi, Fawaz D. (2020) Comparative Frameworks for Monitoring Quality Assurance in Higher Education Institutions using Business Intelligence. In: 2020 International Conference on Computing and Information Technology (ICCIT-1441). IEEE, pp. 1-5. ISBN 978-1-7281-2680-7

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Abstract or description

This paper aims to identify existing frameworks for monitoring Quality Assurance in Higher Education Institutions. A literature review has been conducted in order to identify the components covered by existing frameworks as well as the deficiencies they share. Firstly, a literature review was conducted to identify previous frameworks that discussed Quality Assurance (QA) or Performance Monitoring in Higher Education (HE). The second stage was to filter these frameworks into those that provided means for monitoring outputs of performance using Business Intelligence (BI) tools using data visualization and reporting. The findings from the research work identified five frameworks which use BI in the monitoring of Quality Assurance in Higher Education Institutions (HEIs). The frameworks have different orientations and focus but all support the use of data to measure performance in Higher Education Institutions and there is a consensus that BI tools, such as dashboards, may be useful in providing real-time feedback about QA performance in Higher Education Institutions

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: “© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Uncontrolled Keywords: Monitoring, Education, Quality assurance, Tools, Business intelligence, Data visualization, Integrated circuits
Faculty: School of Digital, Technologies and Arts > Computer Science, AI and Robotics
Event Title: , International Conference on Computing and Information Technology,
Event Location: Tabuk University Saudi Arabia
Event Dates: 09-10/09/2020
Depositing User: Anthony ATKINS
Date Deposited: 19 Nov 2021 15:19
Last Modified: 19 Nov 2021 15:19
URI: http://eprints.staffs.ac.uk/id/eprint/7078

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