Design of a Distance Learning Supervision System Based on Time-Series Data of Learning Behaviors

• Published in: Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 29; no. 2; pp. 337 - 348
• Main Author: Zhu, Yan
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Ltd 20.03.2025; 富士技術出版株式会社; Fuji Technology Press Co. Ltd
• Subjects: Algorithms; Benchmarks; Clustering; Distance learning; Feature extraction; prediction of dropping out of school; Recall; Remote monitoring; Search algorithms; Students; temporal data of learning behavior; Time series; unsupervised methods; variable scoring information bottleneck; variable scoring self-encoder

This paper proposes a remote learning monitoring method based on learning behavior time series data to effectively monitor learning progress of students. This method integrates multi-scale feature extraction, a variational information bottleneck module, and a variational autoencoder to enhance featu...