Emotion Recognition AI in Online Learning: Enhancing Engagement and Personalizing Educational Experiences
Vol. 9, Jan-Dec 2023 | Page: 51-54
Abstract
Online learning platforms with Emotion Recognition AI make use of cutting-edge technologies to identify and address students' emotional states, resulting in more personalized and interesting learning experiences. These systems provide educators with immediate feedback and modify content to suit the emotional and academic needs of pupils by combining facial recognition, voice analysis, and text sentiment analysis. This study highlights the potential of emotion recognition artificial intelligence (AI) to revolutionize digital education by examining its technologies, uses, advantages, drawbacks, and future directions in online learning settings.
References
- Liu, X., & Wang, Y. (2021). Emotion recognition in online learning environments: A survey. Journal of Educational Technology & Society, 24(1), 1-15.
- Zhang, Y., & Hu, L. (2020). The impact of emotion recognition AI on student engagement in online learning. Computers & Education, 147, 103767.
- Chen, T., & Zhao, H. (2022). Ethical implications of emotion recognition technology in education. Educational Technology Research and Development, 70(3), 679-694.
- Robinson, J., & Smith, R. (2019). Emotion detection technologies: Applications in education and challenges ahead. International Journal of Educational Technology, 5(2), 34-47.
- O'Connor, P., & Murphy, E. (2021). The role of AI in enhancing emotional intelligence in online learning. Education and Information Technologies, 26(6), 7347-7363.
- Grigore, M. (2022). The challenges of implementing emotion recognition technology in education. Journal of Educational Technology Development and Exchange, 15(1), 25-40.
Divya Sharma
M. Tech (Computer Science)
Samayra Chawla
Student, 11th grade, Springdales School, Pusa Road, Delhi
Received: 12-02-2023, Accepted: 02-04-2023, Published Online: 24-05-2023