Detecting Drowsy Learners at the Wheel of e-Learning Platforms With Multimodal Learning Analytics

Detecting Drowsy Learners at the Wheel of e-Learning Platforms With Multimodal Learning Analytics

Learners are expected to stay wakeful and focused while interacting with e-learning platforms. Although wakefulness of learners strongly relates to educational outcomes, detecting drowsy learning behaviors only from log data is not an easy task. In this study, we describe the results of our research...

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Bibliographic Details
Main Authors: Ryosuke Kawamura, Shizuka Shirai, Noriko Takemura, Mehrasa Alizadeh, Mutlu Cukurova, Haruo Takemura, Hajime Nagahara
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Drowsiness
online education
e-learning platforms
multimodal learning analytics
physical learning analytics
Online Access:https://ieeexplore.ieee.org/document/9514554/

Internet

https://ieeexplore.ieee.org/document/9514554/

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