Pinned Repositories
2022-IEEE-LA-CCI-Student-Dropout
Official implementation of our 2022 IEEE LA-CCI paper Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling.
ML-based-dropout-prediction
Learning-Styles-prediction
The objective of this study is to predict learners’ learning styles based on their learning traces. we analyzed data collected from the edX course “Statistical Learning" session Winter 2015 and Winter 2016), administered via Stanford’s Logunita platform
yiyeqincheng's Repositories
yiyeqincheng/Learning-Styles-prediction
The objective of this study is to predict learners’ learning styles based on their learning traces. we analyzed data collected from the edX course “Statistical Learning" session Winter 2015 and Winter 2016), administered via Stanford’s Logunita platform