E-Mote: An Emotion-Aware Teacher Training Framework Integrating Facs, AI, and VR

This paper presents E-MOTE (Emotion-aware Teacher Education Framework), a conceptual framework designed to enhance teacher education through the integration of the Facial Action Coding System (FACS), Artificial Intelligence (AI), and Virtual Reality (VR). Grounded in neuroscientific and educational research, the proposed framework aims to strengthen teachers' emotional awareness, teacher noticing, and social and emotional learning (SEL) competencies. E-MOTE outlines a designbased approach to addressing persistent gaps in current teacher preparation programs, which often lack tools for practicing real-time recognition of subtle emotional cues. As a theoretical and designoriented proposal, it provides a structured foundation for developing emotionally responsive teaching and inclusive classroom management, while outlining essential ethical safeguards and scalable validation strategies for diverse educational contexts.