Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences
Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen · 2025
The rapid advancement of artificial intelligence and virtual digital human technologies is ushering in transformative changes in education. Virtual digital humans, empowered by multimodal information fusion and natural language processing capabilities, offer a more engaging and humanized interaction experience for online learning. However, general-purpose AI models for digital teaching often face notable challenges: 1) They often lack deep understanding of users, overlooking personalized learning needs; 2) they may struggle with knowledge reasoning, leading to unreliable and outdated content; 3) their human-machine interactions can feel unnatural, lacking emotional resonance and empathetic support.