Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining

Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining

Abstract Exploring students’ cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influencing students’ cognitive abilities, and...

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Bibliographic Details
Main Authors: Tianyue Niu, Ting Liu, Yiming Taclis Luo, Patrick Cheong-Iao Pang, Shuaishuai Huang, Ao Xiang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Educational data mining
Explainability algorithms
Machine learning
Cognitive abilities
Students
Online Access:https://doi.org/10.1038/s41598-025-12514-5
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https://doi.org/10.1038/s41598-025-12514-5

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