HOW EDUCATIONAL DATA MINING CAN PREDICT STUDENTS’ ACADEMIC ACHIEVEMENT
Keywords:
Educational Data Mining, Data Mining, GPA Prediction, CorrelationAbstract
One of the important measurement of successful academic achievement is GPA and study period. Department of Information System, Faculty of Information Technology Duta Wacana Christian University has a problem with students GPA and study period. Average of study period in IS Department is 5.37 years. Some students study longer than 5 years. Instead of the study period, some students also fail to continue their study. 20.3% active students are failed within first to fourth year.
Data Mining grows rapidly and is used in all sectors, not only in profit organizations but also nonprofit organizations, such as universities. Data mining algorithm helps the development of machine learning algorithm. In this research, researchers try to use data mining algorithm to predict the successful study. Some data are analyzed to discover the relationship and correlation between first years’ GPA to the final GPA.
As a result for this study, researchers discovered that there is correlation between first year GPA (first and second semester in students study period) to the final GPA. It is suggested that students should be taken care during the first year. Faculty member should maintain the students’ motivation during the first year of students study period.
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References
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