Dropout prediction model for college students in moocs based on weighted multi-feature and svm
Z Yujiao, AL Weay, S Shaomin… - Journal of Informatics …, 2023 - journals.mmupress.com
Due to the COVID-19 pandemic, MOOCs have become a popular form of learning for
college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty …
college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty …
A study of online academic risk prediction based on neural network multivariate time series features
Y Wu, M Yu, H Huang, R Hou - Concurrency and Computation …, 2024 - Wiley Online Library
Neural networks are becoming increasingly widely used in various fields, especially for
academic risk forecasts. Academic risk prediction is a hot topic in the field of big data in …
academic risk forecasts. Academic risk prediction is a hot topic in the field of big data in …
Towards Advanced Approaches to Predict Students Dropout in MOOCS
As the years have progressed, Massive Open Online Courses (MOOCs) have proven to be
one of the main online learning methods for students around the world. However, the …
one of the main online learning methods for students around the world. However, the …
A Study of Online Academic Risk Prediction Based on Multivariate Time Series Features
M Yu, R Hou, H Huang, Y Wu, F Fan, S Yuan - 2023 - researchsquare.com
Academic risk prediction is a hot topic in the field of big data in education that aims to identify
and help students who experience great academic difficulties. In recent years, the use of …
and help students who experience great academic difficulties. In recent years, the use of …