A study on multitask deep learning-based prediction of student dropout risk and analysis of influencing factors

Key Points

• This research aims to predict student dropout risk using multitask deep learning and analyze influencing factors.
• Utilized a multitask deep learning framework for prediction.
• Analyzed various factors influencing dropout rates.
• Implemented predictive algorithms on student data.
• Identified key factors that contribute to student dropout risk.
• Demonstrated effective prediction capabilities of the deep learning model.
• Provided insights into the relative importance of influencing factors.