MOOC Dropout Prediction Using FWTS-CNN Model Based on Fused Feature Weighting and Time Series

MOOC Dropout Prediction Using FWTS-CNN Model Based on Fused Feature Weighting and Time Series

High dropout rates have been a major problem affecting the development of Massive Open Online Courses (MOOCs). Student dropout prediction can help teachers identify students who are tending to fail and provide extra help in a timely manner, helping to improve the effectiveness of online learning. In...

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Bibliographic Details
Main Authors: Yafeng Zheng, Zhanghao Gao, Yihang Wang, Qian Fu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dropout prediction
time series prediction
feature engineering
convolutional neural networks
accuracy
Online Access:https://ieeexplore.ieee.org/document/9296213/

Internet

https://ieeexplore.ieee.org/document/9296213/

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