Research on personalized teaching modeling based on dynamic entropy control clustering: Innovation and application of AKM-DWEC framework

The growing demand for personalized education necessitates intelligent clustering methods capable of handling dynamic, high-dimensional educational data while preserving privacy. This study proposes an Adaptive K-means framework with Dynamic Weight Entropy Control (AKM-DWEC), which addresses three c...

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Bibliographic Details

Published in:	Systems and soft computing Vol. 7; p. 200353
Main Author:	Chen, Xihua
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2025 Elsevier
Subjects:	Adaptive clustering algorithm Differential privacy preservation Dynamic weight entropy control Multimodal data governance Personalized learning model Multimodal data governance Differential privacy preservation Personalized learning model Adaptive clustering algorithm Dynamic weight entropy control
ISSN:	2772-9419, 2772-9419
Online Access:	Get full text
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