Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course

Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course

Educational data mining is valuable for uncovering latent relationships in educational settings, particularly for predicting students' academic performance. This study introduces an interpretable hybrid model, optimised through Tree-structured Parzen Estimation (TPE) and Support Vector Regressi...

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Bibliographic Details
Main Authors: Sujan Ghimire, Shahab Abdulla, Lionel P. Joseph, Salvin Prasad, Angela Murphy, Aruna Devi, Prabal Datta Barua, Ravinesh C. Deo, Rajendra Acharya, Zaher Mundher Yaseen
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Tertiary preparatory program
Student performance prediction
Students at risk
Education models
Deep learning
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X24001346
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