大数据赋能下教育电商的风险治理与模式优化

Risk Governance and Model Optimization of Education E-Commerce Empowered by Big Data

摘要: 教育产品因其独特的评价滞后性与内容严谨性，其电商模式正经历从单一课包向智能硬件、服务保障的生态重构。文章基于大数据透视与多维营销理论，系统分析了当前教育电商的主流模式，旨在揭示大数据赋能下教育电商的演进特征及其潜藏的风险危机。研究发现，在下沉市场扩张中极易出现隐性服务降级的现象，同时生成式人工智能(GenAI)的应用引发了知识幻觉与合规风险。为此，本文结合4C等营销理论框架，从格式条款的法律规制、AI生成内容的双重验证体系及未成年人数据伦理三个维度提出了针对性的风险治理与合规路径，以期为教育电商的健康、公平、可持续发展提供理论参考。

Abstract: Due to its unique evaluation lag and content rigor, the e-commerce model of education products is undergoing an ecological reconstruction from a single lesson package to intelligent hardware and service guarantee. Based on big data perspective and multi-dimensional marketing theory, this paper systematically analyzes the current mainstream mode of educational e-commerce, aiming to reveal the evolution characteristics of educational e-commerce empowered by big data and its potential risks and crises. The study found that implicit service downgrading is very easy to occur in the expansion of sinking markets, and the application of generative artificial intelligence (GenAI) has caused knowledge illusions and compliance risks. To this end, this paper combines the marketing theoretical framework, such as 4C, and proposes a targeted risk governance and compliance path from three dimensions: the legal regulation of standard clauses, the dual verification system of AI-generated content, and the data ethics of minors, in order to provide a theoretical reference for the health, fairness and sustainable development of educational e-commerce.