Development of Spectral Clustering Algorithm in Cognitive Diagnosis Model: Approach for Student’s Psychological Growth

With the development of intelligent education, the diagnostic performance of the traditional cognitive diagnostic model has been unable to meet the needs of today’s education. This study uses the Gaussian mixture model (GMM) to model and optimize model parameters through maximum probability estimati...

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Veröffentlicht in:	International journal of computational intelligence systems Jg. 18; H. 1; S. 211 - 15
1. Verfasser:	Chang, Xiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 18.08.2025 Springer Nature B.V Springer
Schlagworte:	Algorithms Artificial Intelligence Cluster analysis Clustering Cognition & reasoning Cognitive ability Cognitive diagnosis Computational Intelligence Control Datasets Diagnosis Education Engineering Gaussian mixture model Graph segmentation Information technology Mathematical Logic and Foundations Mechatronics Methods Optimization Probabilistic models Psychological development Research Article Robotics Spectral clustering algorithm Students Psychological development Spectral clustering algorithm Cognitive diagnosis Gaussian mixture model Graph segmentation
ISSN:	1875-6883, 1875-6891, 1875-6883
Online-Zugang:	Volltext
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