Academic performance warning system based on data driven for higher education

• Published in: Neural computing & applications Vol. 35; no. 8; pp. 5819 - 5837
• Main Authors: Duong, Hanh Thi-Hong, Tran, Linh Thi-My, To, Huy Quoc, Van Nguyen, Kiet
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2023; Springer Nature B.V
• Subjects: Academic achievement; Academic probation; Algorithms; Artificial Intelligence; Colleges & universities; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Data sources; Datasets; Education; Higher education; Image Processing and Computer Vision; Machine learning; Original; Original Article; Parole & probation; Probability and Statistics in Computer Science; Students; Support vector machines; Warning systems; Data driven; Imbalanced data; Feature selection; Feature generation; Academic performance; Machine learning; Warning system

Academic probation at universities has become a matter of pressing concern in recent years, as many students face severe consequences of academic probation. We carried out research to find solutions to decrease the situation mentioned above. Our research used the power of massive data sources from t...