Anomaly Detection in Online Learning Platforms: Enhancing Student Engagement and Security
Alt Text: Anomaly Detection in Online Learning Platforms
Title: Anomaly Detection in Online Learning Platforms: Enhancing Student Engagement and Security
Caption: Analyzing anomalies in e-learning platforms
Description: Explore techniques for anomaly detection in online learning platforms to identify irregularities, optimize content delivery, and improve student engagement.
Keywords: Anomaly detection, online learning, student engagement, e-learning optimization, IJET journal
International Journal of Engineering and Techniques – Volume 11 Issue 1, January 2024
Mrs. Nissana P.S.1
1Department of Computer Applications. Email: nissanaps1@gmail.com
Abstract
Anomaly detection in online learning platforms is a critical process for identifying irregular patterns and behaviors that deviate from normal operational or user activities. These anomalies, ranging from technical issues and user disengagement to fraudulent activities and content inefficiencies, can significantly impact the effectiveness of online education…
Keywords
Anomaly detection, online learning, student engagement, e-learning optimization, IJET journal
How to Cite
Mrs. Nissana P.S., “Anomaly Detection in Online Learning Platforms,” International Journal of Engineering and Techniques, Volume 11, Issue 1, 2024. ISSN 2395-1303
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