Abstract:

The Covid-19 pandemic hit the world towards the end of 2019. The pandemic forced the entire education system to shift to online education. The concept of E-learning and distance learning systems existed before the pandemic but these were used as alternative or compromised platforms in the educational world. The pandemic imposed a lot of changes in the behavior patterns of the student community. The paper puts forward a conceptual framework for analyzing the behavior of students during online learning through deep learning and facial expression methods. The model tries to capture the facial landmarks. These help in understanding the state of mind of the student while undergoing online learning. The proposed model aims to help the education community in recognizing the behavior and emotions of the students. This will help them to identify the strength and weaknesses of the students related to different subjects. Also, it will promote the teachers to do early interventions that will lead to the betterment of the pupils

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