Research on the Supply Ecology of Lifelong Learning Resource Database Based on Knowledge Graph and Large Language Model
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.
Knowledge GraphLarge Language ModelLearning ResourceSupply EcologyLifelong Learning
万方数据
维普
