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Prediction of Students’ Adaptability Using Explainable AI in Educational Machine Learning Models

As the educational landscape evolves, understanding and fostering student adaptability has become increasingly critical. This study presents a comparative analysis of XAI techniques to interpret machine learning models aimed at classifying student adaptability levels. Leveraging a robust dataset of...

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Hoofdauteurs: Leonard Chukwualuka Nnadi, Yutaka Watanobe, Md. Mostafizer Rahman, Adetokunbo Macgregor John-Otumu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-06-01
Reeks:Applied Sciences
Onderwerpen:
comparative analysis
educational data mining
educational predictive modelling
XAI
feature importance
machine learning interpretability
Online toegang:https://www.mdpi.com/2076-3417/14/12/5141
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