id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-5958	Chen, Zhilin ; Mariano, Vladimir Y. 	Multimodal student behavior analysis based on unsupervised learning	2025	18	.pdf	application/pdf	6669	311	27	These findings underscore the value of multimodal behavioral analysis in developing proactive educational support systems that can identify intervention needs before traditional performance metrics would trigger remediation. [5] L. Yan, D. Gasevic, V. Echeverria, Y. Jin, L. Zhao, and R. Martinez-Maldonado, From complexity to parsimony: Integrating latent class analysis to uncover multimodal learning patterns in collaborative learning, in In Proceedings of the 15th International Learning Analytics and Knowledge Conference (pp. 70-81).	cache/easat-5958.pdf	txt/easat-5958.txt