Research Progress,Challenges and Trend Analysis of Digital Learning Resource Association Networks
The production and dissemination of digital learning resources in a large-scale open collaborative environment is a complex network evolution process.During the generation and sharing process,resources gradually establish connections with other resources,achieving scale expansion and network structure improvement,forming a digital learning resource association network.Currently,research on digital learning resource association networks is emerging continuously.From a construction technology perspective,it generally includes four processes:data preparation,modal fusion,network visualization,and network analysis,involving three key technologies:data mining,complex network analysis,and multimodal information processing.From a topological structure perspective,it usually conforms to the power-law distribution characteristics,showing scale-free and small-world features,with newly added nodes tending to connect with influential nodes.From the perspective of evolution models,existing models mostly use classic scale-free network models and their improved models to study the evolution mechanism and reveal the evolution laws.However,influenced by the complexity and dynamics of resource groups,current research on digital learning resource association networks faces challenges in aspects such as semantic recognition and fusion of multimodal learning resources,extraction of implicit association relationships between resources,and identification of resource association network evolution laws.In the future,the construction of multimodal heterogeneous digital learning resource association networks,identification and feature recognition of resource association network evolution laws,research on resource association network quality assessment methods and technologies,and elucidation of the intrinsic mechanism of resource association networks promoting teaching will become the main trends in the research of digital learning resource association networks.
digital learning resourcesassociation networkresource evolutionpractical challengesdevelopment trends
万方数据
维普
