ANN-LSTM: A deep learning model for early student performance prediction in MOOC

ANN-LSTM: A deep learning model for early student performance prediction in MOOC

Learning Analytics aims to discover the class of students' performance over time. This helps instructors make in-time interventions but, discovering the students' performance class in virtual learning environments consider a challenge due to distance constraints. Many studies, which applie...

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Bibliographic Details
Main Authors: Fatima Ahmed Al-azazi, Mossa Ghurab
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Heliyon
Subjects:
Multi-class classification
Student performance prediction
Deep learning
Virtual learning environments
MOOC
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023025896

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http://www.sciencedirect.com/science/article/pii/S2405844023025896

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