Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering

IntroductionUnderstanding individual cognitive profiles is crucial for developing personalized educational interventions, as cognitive differences can significantly impact how students learn. While traditional methods like factor mixture modeling (FMM) have proven robust for identifying latent cogni...

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Bibliographic Details

Published in:	Frontiers in Psychology
Main Authors:	Matteo Orsoni, Sara Giovagnoli, Sara Garofalo, Noemi Mazzoni, Matilde Spinoso, Mariagrazia Benassi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-05-01
Subjects:	variational autoencoders clustering machine learning cognitive profiles factor mixture modeling
Online Access:	https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1474292/full