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The impact of AI on Japanese language education: a hybrid model for student behavior detection

Abstract The increasing complexity of classroom environments necessitates nigh-on-sophisticated methods for the detection and analysis of student behavior, especially in Japanese language education, where engagement and attention are crucial for effective learning. This study presents a new model to...

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Hlavní autoři: Yuquan Li, Hongyu Zou, Jing Xu, Dechao Chen, Ying Zhou, Yan Liu
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2026-02-01
Edice:Scientific Reports
Témata:
Classroom behavior
Convolutional neural network
AlexNet
ELM Net
Detection
Feature extraction
On-line přístup:https://doi.org/10.1038/s41598-026-40262-7
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