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Student performance prediction and analysis using machine learning.

Authors :
Nancy, P.
Kshitij, Ramrakhiani
Aditya, Bashyam
Source :
AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-12, 12p
Publication Year :
2024

Abstract

Data mining is increasingly being incorporated into educational systems all around the world. This opens up opportunities to enhance teaching and learning processes because it has such high predictive power. In recent years, Educational Data mining has attracted a lot of attention. We have worked on a Learning analytics-based performance predictor that includes additional characteristics or aspects which we refer to as behavioral features. This study helps educational institutes identify how to enhance their current evaluation techniques for better evaluation and understanding of their students. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
DATA mining

Details

Language :
English
ISSN :
0094243X
Volume :
3075
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
178685883
Full Text :
https://doi.org/10.1063/5.0217361