Emotionally Intelligent Edtech: A CNN Perspective

This study addresses the absence of immediate emotional feedback in online education by utilizing computer vision and deep learning to create a real-time emotion recognition system. Despite encountering technological and privacy challenges, the system enriches educators{\prime} comprehension of stud...

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Bibliographic Details
Published in2024 International Conference on Computational Intelligence and Computing Applications (ICCICA) Vol. 1; pp. 381 - 386
Main Authors Goel, Mehak, Mittal, Akshat, Sehgal, Mitu
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.05.2024
Subjects
Adaptive systems
Atmosphere
Computer vision
Deep learning
Dynamic Emotion Analysis
Education
Emotion recognition
Online Learning
Privacy
Student Engagement
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Summary:This study addresses the absence of immediate emotional feedback in online education by utilizing computer vision and deep learning to create a real-time emotion recognition system. Despite encountering technological and privacy challenges, the system enriches educators{\prime} comprehension of students{\prime} emotional states, enabling adaptive teaching strategies and fostering a more personalized learning atmosphere. The findings suggest significant improvements in the student engagement and instructional methods, highlighting the importance of integrating dynamic emotion recognition into online learning platforms for optimized educational outcomes.
DOI:10.1109/ICCICA60014.2024.10585051