Vol.11, No.2, May 2022.                                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Developing a Quality Automation Framework to Assess Specifications for Academic Accreditation in Saudi Arabian Universities


Nasser Ali Aljarallah, Ashit Kumar Dutta


© 2022 Ashit Kumar Dutta, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 2, Pages 667-674, ISSN 2217-8309, DOI: 10.18421/TEM112-21, May 2022.


Received: 05 September 2021.

Revised:   25 March 2022.
Accepted: 04 April 2022.
Published: 27 May 2022.




Saudi Arabia's higher educational standards are gradually evolving to match the country's vision 2030. The importance of education and a strong emphasis on educational quality are the determinants to realize this vision. Recent studies reveal that the faculty members spend a lot of time preparing documents for the accreditation program and eventually may lose interest in the process. There is a lack of an automated system to prepare documents for accreditation and the need for one is strongly felt. Educational institutions entail multiple accreditations to ensure their quality. In addition, accreditation enables educational institutions to attract student communities. The study intends to develop an integrated framework to prepare documents and maintain quality practices for multiple academic accreditations. The proposed system employs application-programming interfaces for publishing data from the database that facilitates an added security to the primary data. Moreover, it automates the overall accreditation process and minimizes manual interaction. Researchers employed the database of the AlMaarefa University and used it as a testbed for implementing the framework.The initial set of results are promising and support educational institutions to improve their quality of service.


Keywords –quality framework, business intelligence, key performance indicators, NCAAA, ASIIN, ISO, academic accreditation.



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