终身学习资源库是建设终身学习体系的重要基础,目前虽已初具规模,但一方面还未形成完整的资源供给生态,另一方面也缺乏先进的人工智能技术支持,难以满足终身学习者日益增长的个性化、多元化、生成性的学习需求.鉴于知识图谱和大语言模型技术在资源库建设中具有极大价值,且二者互补能够显著提高资源供给服务的质量,结合知识图谱与大语言模型技术,从资源生产、传播、消费和优化四个环节构建开放性、联结性、智能化、多元化、个性化、生成性的终身学习资源库供给生态,以期创新资源供给模式,提高终身学习质量.未来,将在实践中落实并持续改进资源供给生态,以促进理论与实践的迭代推进,为相关机构在该领域的探索提供借鉴.
The lifelong learning resource database is an important guarantee for the construction of a lifelong learning system.Currently,although it has initially taken shape,it has not formed a complete resource database supply ecology and lacks the support of advanced artificial intelligence technology.Consequently,it is difficult to meet the increasingly personalized,diverse,and generative learning needs of lifelong learners.Considering the value of knowledge graph and large language model technologies in resource database construction,an open,connective,intelligent,diversified,personalized and generative lifelong learning resource database supply ecology was constructed from four aspects by combining these two technologies.The four aspects were resource production,dissemination,consumption,and improvement.It could innovate the resource supply mode and improve the quality of lifelong learning.In the future,the implementation and continuous improvement of the resource database supply ecology will be carried out in practice.This will facilitate the iterative advancement of theory and practice and provide guidance for relevant institutions'exploration in this field.