Student performance prediction in higher education: A comprehensive review
Student dropout still becomes a critical problem in education. Educational Data Mining (EDM) can bring potential impact to support academic institution's goals in making academic decisions, such as regulation renewal, rule enforcement, or academic process improvement. The sooner at-risk student...
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Main Authors: | , , |
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Format: | Conference or Workshop Item PeerReviewed |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://repository.ugm.ac.id/282050/1/Tjandra%20et%20al%20-%202022%20-%20Student%20Performance%20Prediction%20in%20Higher%20Education.pdf https://repository.ugm.ac.id/282050/ https://pubs.aip.org/aip/acp/article-abstract/2470/1/050005/2825569/Student-performance-prediction-in-higher-education?redirectedFrom=PDF |
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Institution: | Universitas Gadjah Mada |
Language: | English |
Internet
https://repository.ugm.ac.id/282050/1/Tjandra%20et%20al%20-%202022%20-%20Student%20Performance%20Prediction%20in%20Higher%20Education.pdfhttps://repository.ugm.ac.id/282050/
https://pubs.aip.org/aip/acp/article-abstract/2470/1/050005/2825569/Student-performance-prediction-in-higher-education?redirectedFrom=PDF