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What is Personalized Learning in MOOCs Analysis about?

This paper addresses the challenges faced by MOOC students, particularly the lack of personalized guidance and high dropout rates. It proposes a framework utilizing multi-source data analysis to provide tailored learning support based on different engagement styles, including content analysis, knowledge state evaluation, and dropout prediction. The effectiveness of the proposed algorithms is demonstrated through experiments, and a web application is developed to visualize student learning states and offer p

Author

Imran Ud Din

Language

EN