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Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach

Education

Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach

X. Xia and W. Qi

This study by Xiaona Xia and Wanxue Qi tackles the pressing issue of high dropout rates in online STEM education through an innovative dropout prediction model. By analyzing MOOC learning behavior data, the model effectively predicts dropouts and reveals useful intervention strategies to enhance STEM learning success.

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