Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliographische Detailangaben
Hauptverfasser:	Khan, Labib Hasan, Haque, Mohammed Ashfaqul, Ibrahim, Esaba Ahnaf
Weitere Verfasser:	Mostakim, Moin
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Machine learning Deep learning MOOC Dropout prediction Ensemble learning Explainable Artificial Intelligence (XAI) Web-based instruction. Teaching > Computer network resources. Education > Computer network resources.
Online Zugang:	http://hdl.handle.net/10361/19395

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