Educational Business Intelligence (eduBI): A New Perspective on Analytical Analysis for Students’ Academic Performance

Abdul Aziz, Azwa and Jusoh, Julaily Aida and Wan Idris, Wan Mohd Rizhan and Hassan, Hasni and Abd Rahman, Mohd Nordin (2013) Educational Business Intelligence (eduBI): A New Perspective on Analytical Analysis for Students’ Academic Performance. MINDS (Malaysian Invention & Design Society, Kuala Lumpur Convention Centre.

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Abstract

Business Intelligence (BI) refers to skills, processes, technologies, applications and practices used to support decision making. BI technologies provide historical, current, and predictive views of business operations that are normally used to analyze business data. Online Analytical Processing (OLAP) is one of the common BI approaches in answering multi-dimensional analytical queries for analytical purpose. We proposed Educational Business Intelligence (eduBI) architecture by utilizing BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). Taking UniSZA as our case study, the patterns on students’ academic behaviors and performance were analyzed using eduBI. A set of data from students’ examination results in relational database was extracted into multi-dimensional model to support OLAP query processing. Next, an analysis on students’ academic performance using BI technologies such as Analytical Reporting, Dashboard, and OLAP was performed. eduBI plays a significant role by optimizing the time to perform current and historical data analysis on students’ results hence serves as a platform to identify the strengths and weaknesses of the students. Based on the findings, appropriate recommendations can be provided to the students as an aid to enhance the students’ academic performance.

Item Type: Other
Additional Information: 1. International Invention,Innovation and Technology Exhibition (ITEX 2013) 2. SILVER MEDAL
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Mr. Azwa bin Aziz
Date Deposited: 15 May 2014 07:01
Last Modified: 20 May 2014 03:12
URI: http://erep.unisza.edu.my/id/eprint/1120

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