A REVIEW OF SPEECH EMOTION RECOGNITION IN EDUCATIONAL TECHNOLOGY

Abstract

Abstract This paper presents a comprehensive review of the current state and future directions of Speech Emotion Recognition (SER) in educational technology, highlighting its transformative potential in creating empathetic and personalized learning experiences. We examine the technological advancements that have enabled the integration of SER in educational platforms, exploring its applications in adaptive learning systems, emotion-aware tutoring, and classroom mood analysis. The review also addresses the challenges faced in implementing SER, including accuracy, privacy concerns, and the need for alignment with pedagogical practices.