Data-Driven Operation Mechanism of Public Welfare Platforms for Left-Behind Children

Abstract

Left-behind children in rural China still have problems with mental health, academic pressure and a lack of social support. With the development of digital technology in recent years, public welfare platforms have started to emerge. Most of the platforms are still run by individuals and have not collected data systematically. Based on the actual construction and field data of the "Yuguang Tongxing" project, this paper has been written. A Data-Driven Operating Model for the Public Welfare Platform of Left-Behind Children is Proposed Here. According to the construction analysis of the data-driven model, psychological measurement, stress heterogeneity and public welfare governance have been added, and thus a mechanism for integrated data collection, analysis, intelligent decision-making and feedback optimisation has been established. Some of the testable hypotheses have also been given. Therefore, the two will help to improve the accuracy of the service and make better use of resources.