Optimised SMOTE-based Imbalanced Learning for Student Dropout Prediction
Student dropout is a common phenomenon that poses a challenge to most educational
institutions and policymakers around the world. In the education sector, the student dropout …
institutions and policymakers around the world. In the education sector, the student dropout …
[HTML][HTML] Академическая задолженность в высшей школе: анализ причин и возможностей преодоления
ЮС Эзрох, АМ Каширина - Высшее образование в России, 2023 - cyberleninka.ru
Наличие академической задолженности студентов способно нанести значительный
урон российской экономике и системе высшего образования в среднесрочной …
урон российской экономике и системе высшего образования в среднесрочной …
[PDF][PDF] Optimizing Dropout Prediction in University Using Oversampling Techniques for Imbalanced Datasets
The phenomenon of student dropout is a significant concern within universities. Institutions
must accurately predict the likelihood of student dropout to address this issue effectively. The …
must accurately predict the likelihood of student dropout to address this issue effectively. The …
Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
Massive open online course (MOOC) has been around for several years, which started to
gain traction in 2012 when Coursera was established. MOOCs use pre-recorded lectures …
gain traction in 2012 when Coursera was established. MOOCs use pre-recorded lectures …
An LSTM-based prediction model for gradient-descending optimization in virtual learning environments
A virtual learning environment (VLE) is an online learning platform that allows many
students, even millions, to study according to their interests without being limited by space …
students, even millions, to study according to their interests without being limited by space …
Enhancing Student Performance Prediction through LSTM-based Deep Learning Models with Unbalanced Data Handling using Oversampling Approach
Accurate prediction of student performance is crucial in learning analytics to prevent course
failures and improve academic outcomes. However, publicly accessible educational data …
failures and improve academic outcomes. However, publicly accessible educational data …