大数据视域下人工智能风险对高校网络思政教育的影响及防范研究

Research on the Impact and Prevention of Artificial Intelligence Risks on Online Ideological and Political Education in Universities from the Perspective of Big Data

摘要: 随着大数据和人工智能技术的快速发展，高校网络思政教育面临着一系列新的挑战和机遇。本文详细分析了高校网络思政教育的现状，在大数据时域下人工智能对网络思政教育资源、教育内容、教育方式、教育伦理、教育效果评价、教育效果持续改进的影响，提出了人工智能风险对高校网络思政教育防范理论框架，借助人工智能对学生个性化需求精准施策，提升了网络思政教育质量，增强了学生学习体验以及提高了网络思政教育效率。

Abstract: With the rapid development of big data and AI technology, the network ideological and political education in colleges and universities is facing a series of new challenges and opportunities. This article analyzes the current situation of network ideological and political education in colleges and universities in detail. It also discusses the impact of AI on the resources, content, methods, ethics, evaluation, and continuous improvement of educational effects of network ideological and political education in the context of big data. The article proposes a theoretical framework for preventing AI risks in network ideological and political education in colleges and universities. By using AI to target students’ individual needs, it improves the quality of network ideological and political education, enhances students’ learning experience, and improves the efficiency of network ideological and political education.