Evolutionary Mechanisms of Network Learning Resource Platforms Based on System Simulation

The network learning resource platform has always been an essential carrier for constructing digital educational resources and public services. Ensuring the continued and stable development of these network learning resource platforms remains a significant challenge. For this reason, this study adopts mixed methods, such as the interview method and the Delphi method, to analyze expert opinions and construct a comprehensive evaluation index system for the evolution stage of the network learning resource platform. Subsequently, various scenarios were simulated using Mathematica to explore potential trajectories of platform evolution under different conditions. The results indicated that the network learning resource platform has experienced four evolutionary stages: deployment start-up stage, resource aggregation stage, quality control stage, and ecological shaping stage. This study expects to provide guidance and suggestions for managers of e-learning resource platforms, help them understand the current development status and potential growth direction, and promote the sustainable and healthy development of the platform.