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...

Full description

Saved in:
Bibliographic Details
Main Authors: Tjandra, Ellysa, Kusumawardani, Sri Suning, Ferdiana, Ridi
Format: Conference or Workshop Item PeerReviewed
Language:English
Published: 2022
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universitas Gadjah Mada
Language: English

Similar Items