Detecting Academic Affective States of Learners in Online Learning Environments Using Deep Transfer Learning
Purushottama Rao Komaravalli,
Janet B
Abstract:Online Learning Environments (OLEs) have become essential in global education, especially during and after the COVID-19 pandemic. However, OLEs face a challenge in recognizing student emotions, hindering educators' ability to provide effective support. To address this issue, researchers emphasize the importance of a balanced dataset and a precise model for academic emotion detection in OLEs. However, the widely-used DAiSEE dataset is imbalanced and contains videos captured in well-lit environments. However, re… Show more
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