A novel AI-driven model for student dropout risk analysis with explainable AI insights
The increasing number of students dropping out of school due to social, economic, personal (e.g., depression or persistent failure), and health issues is a growing concern for governments, educators, and guardians. Identifying and analyzing the factors contributing to student dropout is crucial. Var...
Saved in:
| Main Authors: | Sumaya Mustofa, Yousuf Rayhan Emon, Sajib Bin Mamun, Shabnur Anonna Akhy, Md Taimur Ahad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Computers and Education: Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24001553 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable AI in Education: Techniques and Qualitative Assessment
by: Sachini Gunasekara, et al.
Published: (2025-01-01) -
Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease
by: Anas Bilal, et al.
Published: (2025-07-01) -
Explainable AI Assisted IoMT Security in Future 6G Networks
by: Navneet Kaur, et al.
Published: (2025-05-01) -
A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction
by: Marwa El-Geneedy, et al.
Published: (2025-07-01) -
An explainable AI-based blood cell classification using optimized convolutional neural network
by: Oahidul Islam, et al.
Published: (2024-12-01)