Addressing Class Imbalances in Video Time-Series Data for Estimation of Learner Engagement: "Over Sampling with Skipped Moving Average"

• Huvudskapare: Xianwen Zheng (Författare, medförfattare), Shinobu Hasegawa (Författare, medförfattare), Wen Gu (Författare, medförfattare), Koichi Ota (Författare, medförfattare)
• Materialtyp: Bok
• Publicerad: MDPI AG, 2024-05-01T00:00:00Z.
• Ämnen: article
• Länkar: Connect to this object online.

Disengagement of students during online learning significantly impacts the effectiveness of online education. Thus, accurately estimating when students are not engaged is a critical aspect of online-learning research. However, the inherent characteristics of public datasets often lead to issues of c...