Predicting academic performance of student using classification techniques

ermatita, ermatita (2022) Predicting academic performance of student using classification techniques. In: 2022 International Conference on Data Science and Its Applications (ICoDSA), Bandung.

Text article - Determining Appropriate Classification Method Based on Influential Factors for Predicting (1).pdf Download (1MB)

Abstract

Data Mining methods are applied on educational data with the intent of enhancing teaching methods, improving quality of teaching, identifying weak students, identify factors that influence Student's academic performance. This utilization of data mining methods to elevate quality of education, identifying students who need improvement is termed as educational data mining. EDM has become a major research interest for many researchers. The primary function of educational data mining is prediction of student's academic performance. [1] Predicting student's academic performance helps in identifying a number of things like students who are likely to drop out, students who are weak and needs improvement, students who are good in academics but lately deteriorated. The intent of this paper is to determine factors that can influence a student's academic performance.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	prediction, academic sucses, classification method, acuracy
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Dr Ermatita zuhairi
Date Deposited:	06 Apr 2023 15:11
Last Modified:	06 Apr 2023 15:11
URI:	http://repository.unsri.ac.id/id/eprint/94201

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