Abstract
The Sultanate of Oman is one of the first countries in the Middle East to utilize technology in the management of the education process. Over time, education data have accumulated, and at the present, large volumes of data with numerous types of statistics have been collected as operational data. This research article takes the advantage of these data and applied predictive data mining approaches to study the performance of general education diploma students (year 12 of school). The decision tree as a classification method has been applied and a prediction model is constructed with ability to show relatively high accuracy of students’ performance prior to year 12 of school, using 30% test data of nearly 6000 student’s records. The significant variables that influence students’ performance are identified which would help stakeholders and decision makers plan ahead and have more time to prepare for decisions.
Highlights
In recent years, information has proven to be a significant asset
Applying business intelligence (BI) in any organization would be by building a new data access approach of the history transactions data, providing fully aggregated multidimensional visualized information that is an essential aid for decision makers
Only subject results from year 12 are used to express the performance of general education diploma students; this study proved scientifically using data mining that previous years have a sizable impact on this performance, statistically speaking
Summary
Information has proven to be a significant asset. Many organizations are ready to invest substantial funds and resources into procuring data of a certain type. Many global technology enterprises such as Google and Facebook depend on the revenue derived from their ability to display targeted advertisements to prospective viewers. Their ability to manage[1] and process large quantities of data is one of the fundamental strengths of these companies. Two of the most important and closely related technology fields that have emerged in recent decades are data mining and business intelligence (BI). Data mining presents a similar approach but performs deeper analysis and processing of the organization’s historical data, which could reach the point of predicting potential customers for a certain service, for example.
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