导师
计算机科学
人机交互
个性化学习
多媒体
心理学
数学教育
教学方法
合作学习
开放式学习
程序设计语言
作者
Kai Zhang,Weiyin Gong,Qi Liu,Junyu Lu,Meikai Bao,Xukai Liu,Linbo Zhu,Enhong Chen
标识
DOI:10.1145/3701716.3715182
摘要
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overlooking personalized learning needs; 2) they may struggle with knowledge reasoning, leading to unreliable and outdated content; 3) their human-machine interactions can feel unnatural, lacking emotional resonance and empathetic support.
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