Emotion Recognition in Education: A Bibliometric Analysis of Recent Trends and Technologies

Emotion Recognition has surfaced as a promising technology that can enhance students' learning capacity by offering tailored and flexible learning experiences. This study examines how Emotion Recognition might be used to tailor education by looking at research trends from 2021 to 2024. VOSviewer software is used to do a study on 270 scholarly papers. This bibliometric study shows publication trends, citation analysis and the most used keywords and themes associated with Emotion Recognition in recent years. The analysis identified the widely utilized techniques in Emotion Recognition, such as Eigen Space Methods, Facial Action Coding Systems, and deep learning. This study maps the knowledge base and essential terms to provide a comprehensive overview of the state of emotion recognition in learning platforms. Additionally, the analysis examines the challenges associated with the technologies and the broader level limitation. This comprehensive overview would help researchers understand global trends, and identify the future scope in Emotion Recognition technologies.