远程教育杂志2025，Vol.43Issue(2)：45-52,8.DOI:10.15881/j.cnki.cn33-1304/g4.2025.02.005
AIGC时代数字人赋能人机协同学习:价值、框架与路径
Empowering Human-AI Collaborative Learning with Digital Humans in the AIGC Era:Values,Framework,and Pathways
摘要
Abstract
Currently,artificial intelligence-generated content(AIGC)is driving transformation of human-machine collaborative learning.However,traditional media formats such as voice and text impose limitations on the interactivity and effectiveness of AIGC applications,resulting in challenges such as mechanistic knowledge transmission,inadequate contextualization,and a lack of emotional engagement.As an emerging medium in the age of intelligence,digital humans—when deeply integrated with AIGC—exhibit characteristics such as reflexive mediality,embodied presence,and intelligent reasoning.In human-AI collaborative learning contexts,AIGC-empowered digital humans offer unique value by reshaping innovative learning environments,transforming educational practices,diversifying cognitive mechanisms,and redefining learning paradigms.Building on this premise,the present study proposes a practical framework for digital human-enabled human-AI collaborative learning in the AIGC era.This framework consists of three progressive stages:case acquisition,case transfer,and knowledge innovation.It is applicable across a range of educational settings,including interdisciplinary thematic learning in general education,work-based learning in vocational education,and ubiquitous learning in lifelong education.To ensure the effective implementation and broader adoption of this learning model,further exploration is needed at both the technological and practical levels.This includes developing large-scale AI models capable of integrating emotional and cognitive functions,innovating algorithms for accessing intelligent competence,and promoting flexible application across diverse learning environments and organizational formats.关键词
人工智能生成内容/生成式人工智能/数字人/人机协同学习Key words
AI-generated content/Generative artificial intelligence/Digital humans/Human-AI collaborative learning分类
社会科学引用本文复制引用
余越凡,赵志群..AIGC时代数字人赋能人机协同学习:价值、框架与路径[J].远程教育杂志,2025,43(2):45-52,8.基金项目
本文系2024年度国家重点研发计划"智能交互实验教学关键技术研究及应用"子课题"多模态多传感器融合的实验过程跟踪分析与智能评测"(项目编号:2024YFC3308504)、2024年度教育部人文社会科学研究青年基金项目"基于多模态学习分析的职教高考技能评价实证研究"(项目编号:24YJC880054)的研究成果. （项目编号:2024YFC3308504）
