Data preprocessing.

<div><p>With the integration of educational technology and artificial intelligence, personalized learning has become increasingly important. However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and represent complex learning in...

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Bibliographic Details
Main Author:	Yuhao Gong (4788654) (author)
Other Authors:	Fei Wang (19534) (author), Yuchen Zhang (524816) (author), Jiaqi Geng (18880969) (author)
Published:	2025
Subjects:	Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified statistically significant improvements outperforming existing methods interpretable prediction layer head attention mechanism featuring three innovations environmental dimension features demonstrated strong generalizability become increasingly important fusing educational theories transformer achieved rmse div >< p 2 </ sup provides theoretical support educational data mining social cognitive theory study provides integrates cognitive educational technology educational interventions teacher support offering data driven support cultural data transformer baselines study proposes recent state personalized learning personalized education peer interaction insufficient interpretability guided four external validation deep learning artificial intelligence art models 608 students 15 ),
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Data preprocessing.

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