A Business Intelligence Solution for Improving the Higher Educational Learning Process
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Wafa Ali Mohammed, Izzeldin A. Elhassan|
|DOI : 10.14445/22312803/IJCTT-V68I12P104|
How to Cite?
Wafa Ali Mohammed, Izzeldin A. Elhassan, "A Business Intelligence Solution for Improving the Higher Educational Learning Process," International Journal of Computer Trends and Technology, vol. 68, no. 12, pp. 15-20, 2020. Crossref, 10.14445/22312803/IJCTT-V68I12P104
Higher Education Institutions (HEIs) today face many challenges such as the local and international expansion and the widespread utilization of Information and Communication Technologies (ICT) that facilitate global competition. To deal with these and with the changes in the labor market, HEIs administrators and planners need the information to improve their services, satisfy customers (students) and gain a competitive advantage. Learning is a process that includes interactions between students, educators, and courses under the umbrella of HEIs. It is the core and most important service provided by them and it is surrounded by many factors. Improving the learning process is multifaceted as there are numerous factors and stakeholders involved. This study aims to present a Business Intelligence (BI) solution and investigate its value in streamlining the learning process at HEIs. The proposed solution avails information and analytical capabilities to HEIs decision-makers. A mix of research methods was used to validate the solution, including content analysis to identify and categorize the factors involved in the learning process, along with a case study implementation of the proposed BI solution. Data was collected from different departments at the Sudan University of Science and Technology (SUST). The data analysis supports the research hypothesis that utilizing BI yields reliable information, knowledge-based decisions, and hence an improved learning process.
Learning process, higher education, decision-making, business intelligence, data warehouse, dimensional model.
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