【作 者】：
徐 刘 杰
【关 键 词 】：
学习资源； 资源进化； 生成式人工智能； 多模态学习资源； 泛在学习
【栏 目】：
学习环境与资源
【中文摘要】：
人工智能生成内容（Artificial Intelligence Generated Content，AIGC）在生成个性化和高质量学习内容方面的优势赋能泛在学习资源进化。AIGC赋能学习资源提质增优、社会关联、情境关联、协同智生和有序进化。同时，遵循以终身学习为现实依据、以生态平衡为终极目标、以自组织化为内部动力、以自然选择为外部动力、以多模态化表征内容、以循证评价实施智能监管、基于人机协同发挥主体作用的进化机理。坚持依托优质大数据训练、生成多模态高质量学习资源，智能感知学习者需求、实现资源自动化生成和转换，强化资源语义自加工、促进学习资源的自组织进化，加强伦理准则与监管、保障内容生成的算法透明与公平等路径，从而实现泛在学习资源的高质量发展。
【英文摘要】：
Artificial Intelligence Generated Content (AIGC) enables the evolution of ubiquitous learning resources through its advantages in generating personalized and high-quality learning content. AIGC enhances the quality improvement and optimization, social relevance, contextual relevance, collaborative intelligence generation, and orderly evolution of learning resources. At the same time, it follows an evolutionary mechanism guided by lifelong learning as the realistic basis, ecological balance as the ultimate goal, self-organization as the internal driving force, natural selection as the external driving force, multi-modal characterization of content, evidence-based evaluation for intelligent regulation, and human-machine collaboration as the dominant force. Thus, it is suggested to adhere to pathways of relying on high-quality big data training, generating multi-modal high-quality learning resources, intelligently perceiving learners' needs, realizing automatic resource generation and transformation, strengthening the semantic self-processing of resources, promoting the self-organized evolution of learning resources, and strengthening ethical norms and supervision, guaranteeing the algorithmic transparency and fairness of content generation, so as to realize the high-quality development of ubiquitous learning resources.