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基于人工智能技术的大学公共心理健康课程中思想政治元素的挖掘方法。

The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology.

机构信息

Student Affairs Office, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066000, China.

College of Physical Education and Health, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066000, China.

出版信息

J Environ Public Health. 2022 Aug 31;2022:2829974. doi: 10.1155/2022/2829974. eCollection 2022.

Abstract

Artificial intelligence technology has become an important part of the development of Internet technology. Artificial intelligence technology can help colleges and universities optimize the network ideological and political teaching system. Artificial intelligence technology provides more accurate data resources and rich and reliable educational technology means for online public mental health education in colleges and universities. This paper comprehensively uses a variety of methods such as qualitative and quantitative analysis, case and empirical analysis, literature analysis, and artificial intelligence technology. Artificial intelligence technology has been closely integrated with online public mental health education in colleges and universities. The model systematically analyzes the optimization methods of artificial intelligence technology methods for the online public mental health education system in colleges and universities, and constructs an innovation system for online public mental health education in colleges and universities. Based on the comprehensive analysis of artificial intelligence and public health in colleges and universities, this paper further proposes the application of artificial intelligence technology in online public mental health education in colleges and universities. On this basis, the model conducts an in-depth analysis of artificial intelligence technology and the online public mental health innovation system. The model supports the development of ideological and political teaching in colleges and universities through various forms such as idea innovation, path innovation, carrier innovation, and mechanism innovation.

摘要

人工智能技术已成为互联网技术发展的重要组成部分。人工智能技术可以帮助高校优化网络思想政治教学体系。人工智能技术为高校在线公共心理健康教育提供了更准确的数据资源和丰富可靠的教育技术手段。本文综合运用了定性和定量分析、案例和实证分析、文献分析和人工智能技术等多种方法。人工智能技术已与高校在线公共心理健康教育紧密结合。该模型系统地分析了高校在线公共心理健康教育系统中人工智能技术方法的优化方法,并构建了高校在线公共心理健康教育的创新体系。在综合分析高校人工智能与公共卫生的基础上,进一步提出了人工智能技术在高校在线公共心理健康教育中的应用。在此基础上,模型对人工智能技术和在线公共心理健康创新体系进行了深入分析。该模型通过理念创新、路径创新、载体创新、机制创新等多种形式,为高校思想政治教学提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0aa/9451957/e66ae746630c/JEPH2022-2829974.001.jpg

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