An explainable AI-based approach for predicting undergraduate students academic performance
The accurate prediction of students' academic achievement has garnered considerable attention in the research community due to its importance in understanding students' progress and assisting them in achieving success. This study presents a novel approach for predicting undergraduate stude...
Saved in:
| Main Authors: | Fatema Tuz Johora, Md Nahid Hasan, Aditya Rajbongshi, Md Ashrafuzzaman, Farzana Akter |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | Array |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005625000116 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The integration of explainable AI in Educational Data Mining for student academic performance prediction and support system
by: Md. Mahmudul Islam, et al.
Published: (2025-06-01) -
Explainable AI analysis for smog rating prediction
by: Yazeed Yasin Ghadi, et al.
Published: (2025-03-01) -
A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease
by: K. M. Tawsik Jawad, et al.
Published: (2025-01-01) -
Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI
by: Mehwish Naz, et al.
Published: (2025-01-01) -
A comprehensive approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI
by: Tapodhir Karmakar Taton, et al.
Published: (2025-07-01)