A Proposed Quality Assurance Intelligent Model for Higher Education Institutions in Saudi Arabia

Abstract

Recent growth and demands for dealing with increasing complexity in management, evaluation, and accreditation of higher educational institutions have led keynote academic institutions and higher education authorities to adopt and try nonconventional solutions known to business firms to account for massive data management. The development in new practices and merging technology for analytics and information management have offered different solutions such as data warehousing, big data, and business intelligence. Such solutions are gradually being installed in a number of renown universities. Due to the difference between the two firms (higher education and business industry) in nature and aims, tailor-made solutions are needed.
 This paper shares authors' experience in designing and implementing an educational information system in the College of Computers and Information systems at King Saud University, Saudi Arabia. The paper also highlights differences between educational intelligence and business intelligence systems. Higher education implementation aspects ensuring suitable data query service to ease the running of high educational institutions are discussed and recognized.

Perceived stress among staff in Saudi Arabian dental colleges before and after an accreditation process: A cross-sectional study

“…In Saudi Arabia, colleges of medicine and dentistry and other higher education institutions did not require accreditation prior to 2004[ 6 ]. Rapid growth in postsecondary institutions led to the need for a government organisation to ensure quality in higher education[ 7 , 8 ]. All colleges must now be accredited by the National Commission for Academic Assessment and Accreditation (NCAAA), founded by the Council of Higher Education in 2005[ 9 ].…”