International Journal of Electrical and Computer Engineering
Vol 12, No 4: August 2022

Analysis of student sentiment during video class with multi-layer deep learning approach

Imrus Salehin (Daffodil International University)
Nazmun Nessa Moon (Daffodil International University)
Iftakhar Mohammad Talha (Daffodil International University)
Md. Mehedi Hasan (Daffodil International University)
Farnaz Narin Nur Hasan (Notre Dame University)
Md. Azizul Hakim (Daffodil International University)
A S M Farhan Al Haque (Daffodil International University)



Article Info

Publish Date
01 Aug 2022

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.

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Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...