Learning Analytics for Online Education: Predicting Academic Performance and Enhancing Engagement through Data-Driven Models - Softcover

S Jahagirdar, Shabnam Ara; R, Tanuja

 
9786208454647: Learning Analytics for Online Education: Predicting Academic Performance and Enhancing Engagement through Data-Driven Models
Softcover
ISBN 10: 6208454646 ISBN 13: 9786208454647
Publisher: LAP Lambert Academic Publishing, 2025

Synopsis

This book investigates the pressing issues of learner engagement and academic attrition in online education environments. With a focus on technical learners in Karnataka, India, the research introduces the EDU Insight framework to analyze key behavioral and demographic factors impacting student performance. It proposes a score prediction model using random forest and synthetic data augmentation through tabular GANs to forecast learner outcomes with high accuracy. Additionally, a hybrid ensemble learning approach incorporating weighted classifiers and meta-learners is developed to further refine predictive performance. To support personalized learning, an autoencoder-based collaborative filtering recommendation system is introduced, tailoring course suggestions based on learner behavior and demographics. The study's integrated use of learning analytics and machine learning contributes novel methodologies for predictive accuracy, data privacy, and personalized learning interventions in online education systems.

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Publisher
LAP Lambert Academic Publishing
Publication date
2025
Language
English
ISBN 10 
6208454646
ISBN 13 
9786208454647
Binding
Paperback
Number of pages
152