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A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students' engagement for sustainable education

Education

A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students' engagement for sustainable education

R. G. Al-anazi, N. M. Alhammad, et al.

Using AI and deep learning, this study introduces HDLMFE-ETESSE — a hybrid model that combines an AdaptSepCX attention network and a C-BiG classifier to detect student emotions from facial expressions and enhance engagement for sustainable education. The approach achieves 98.58% accuracy on a student-engagement dataset and was conducted by the authors listed in <Authors>.

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~3 min • Beginner • English
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