Enhancing Online Learning with Emotion AI: Affective Computing for Personalized Education

This paper explores the integration of Emotion AI (Affective Computing) in online learning environments to enhance personalized education. By detecting and responding to students' emotional states in real time, Emotion AI can help improve learner engagement, motivation, and academic outcomes. The paper reviews current technologies, presents a conceptual model, and discusses the ethical challenges of implementing Emotion AI in educational settings. This research emphasizes the potential of affective computing to transform traditional e-learning platforms into emotionally aware, adaptive systems that cater to the individual needs of students.