id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajema-7617	Nurmamatovna, Iskandarova Sayyora; ugli, Jurayev Xudoyshukur Utkir	Classification of Student Actions Through 2D Pose-Based CNN-LSTM Networks	2025	6	.htm	application/pdf	2492	149	41	Future Work Building upon the current study, future work will explore several avenues to enhance the robustness and applicability of student behavior analysis models. This study introduces a 2D pose-based CNN-LSTM model designed to classify student actions—hand raising, writing, and reading— from video data using the EduNet dataset.	cache/ajema-7617.htm	txt/ajema-7617.txt