CNN autoencoders and LSTM-based reduced order model for student dropout prediction
K Niu, G Lu, X Peng, Y Zhou, J Zeng… - Neural Computing and …, 2023 - Springer
Abstract In recent years, Massive Open Online Courses (MOOCs) have become the main
online learning method for students all over the world, but their development has been …
online learning method for students all over the world, but their development has been …
PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction
K Niu, Y Zhou, G Lu, W Tai, K Zhang - Computers and Electrical …, 2023 - Elsevier
High dropout rates are a major challenge for Massive Open Online Courses (MOOCs),
making dropout prediction a crucial task. Existing research often develops various prediction …
making dropout prediction a crucial task. Existing research often develops various prediction …
CGDC-LSTM: A novel hybrid neural network model for MOOC dropout prediction
Y Zhou, K Niu, H Lv, G Lu, Y Pan - 2023 International Joint …, 2023 - ieeexplore.ieee.org
Dropout prediction is an important task due to the high attrition rate commonly found on the
massive open online courses (MOOC) platforms. Researchers usually use neural networks …
massive open online courses (MOOC) platforms. Researchers usually use neural networks …