摘要
针对民办幼儿园存在的办学质量问题,研究提出构建信用风险监测预警系统,旨在运用大数据分析模型和机器学习算法,实现对民办幼儿园信用风险的智能监控和科学预测。系统建设内容包括功能模块架构、指标体系构建、实施技术线路等,以期提升教育管理部门的工作效率和质量,为普惠性民办幼儿园的日常监管提供新思路。该系统可推动“互联网+”学前教育信用监管模式创新,为教育管理部门科学决策提供智力支持。
In response to the issues of varying educational quality among private kindergartens,the study proposes the establishment of a credit risk monitoring and early warning system.The aim is to achieve intelligent monitoring and scientific prediction of credit risks in private kindergartens through big data analytics models and machine learning algorithms.The system construction encompasses functional module architecture,indicator system construction,implementation of the technical route and other aspects,aiming to enhance the work efficiency and quality of education management departments and provide new ideas for the daily supervision of inclusive private kindergartens.Through this system,it is possible to promote innovation in the“Internet+”preschool education credit supervision model and provide intellectual support for scientific decision-making by education management departments.
作者
陈星达
CHEN Xingda(Ningbo Childhood Education College,Ningbo 315336,China)
出处
《宁波教育学院学报》
2025年第4期8-13,共6页
Journal of Ningbo Institute of Education
基金
2021年度第五批宁波市哲社课题(教育专项)“民办幼儿园信用风险监测预警体系建设研究”(G21-5-JY15)。
关键词
民办幼儿园
信用风险监测预警系统
社会信用体系
private kindergarten
credit risk monitoring and early warning system
social credit system
