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All Journal International Journal of Electrical and Computer Engineering
Md. Azizul Hakim
Daffodil International University
Computer Science & IT Electrical & Electronics Engineering

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Analysis of student sentiment during video class with multi-layer deep learning approach Imrus Salehin; Nazmun Nessa Moon; Iftakhar Mohammad Talha; Md. Mehedi Hasan; Farnaz Narin Nur Hasan; Md. Azizul Hakim; A S M Farhan Al Haque
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3981-3993

Abstract

The modern education system is an essential part of the rise of technology. The E-learning education system is not just an experimental system; it is a vital learning system for the whole world over the last few months. In our research, we have developed our learning method in a more effective and modern way for students and teachers. For significant implementation, we are implementing convolutions neural networks and advanced data classifiers. The expression and mood analysis of a student during the onlineclass is the main focus of our study. For output measure, we divide the final output result as attentive, inattentive, understand, and neutral. Showing the output in real-time online class and for sensory analysis, we have used support vector machine (SVM) and OpenCV. The level of 5*4 neural network is created for this work. An advanced learning medium is proposed through our study. Teachers can monitor the live class and different feelings of a student during the class period through this system.
Co-Authors A S M Farhan Al Haque Farnaz Narin Nur Hasan Iftakhar Mohammad Talha Imrus Salehin Md. Mehedi Hasan Nazmun Nessa Moon