Utilizing Business Intelligence to Enhance Student Performance and Curriculum Development

Brunela Karamani, Bojken Shehu

© 2025 Brunela Karamani, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).

Citation Information: SAR Journal. Volume 8, Issue 1, Pages 58-62, ISSN 2619-9955, https://doi.org/10.18421/SAR81-07, March 2025.

Received: 06 February 2025.
Revised:  17 March 2025.
Accepted: 23 March 2025.
Published: 27 March 2025.

Abstract:

This case study explores the implementation of Business Intelligence at the university aimed at improving student performance and refining curriculum quality. In an era of data-driven education, the university utilized Business Intelligence platforms to aggregate, visualize, and analyze extensive datasets related to student behaviors, academic outcomes, and demographic factors. The findings revealed alarming dropout and failure rates, particularly in the foundational courses like calculus and chemistry, prompting targeted investigations into instructional methods and student engagement. By leveraging learning analytics, the university identified high-risk students and courses, subsequently redesigning curricula to incorporate interactive elements such as flipped classrooms and adaptive learning technologies.

Keywords – Business Intelligence, big data, data analysis, performance, quality.

                   

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