School of Marxism, Hainan Medical University, Hainan, Haikou 571199, China.
Hainan Integrated Moral Education Research Base for College, Middle School and Children, Hainan, Haikou 570204, China.
J Environ Public Health. 2022 Aug 31;2022:2288321. doi: 10.1155/2022/2288321. eCollection 2022.
The emergence of the big data era has drastically altered people's lives and perceptions. One needs a thorough understanding of the topic to effectively apply big data's benefits to the ideological and political education work that colleges and universities carry out. By doing so, the advantages of big data can be better exploited and integrated into the educational process, enhancing the work's overall quality. To enhance the path of ideological and political education in colleges and universities, it is necessary to change according to the matter, advance according to the time, and make new changes according to the situation, and therefore, it is important to actively explore the path of ideological and political education in colleges and universities under the times. In this study, we research and analyze the opportunities and challenges facing the ideological and political education of universities in the era of big data, reexamine the subjective and objective environment in which the ideological and political education of universities is located, and explore the innovative development path of the ideological and political education of universities in the new environment. We will also encourage the innovative growth of ideological and political work in four areas, such as cultivating big data thinking innovation, working method innovation, working carrier innovation, and ideological work team construction, and conduct a ranking analysis on the significance of the exploration variables to improve the path of ideological work. The importance score measures the value of features in the construction of the ascending decision in the model, so the XGBoost algorithm is used to sort and analyze the significance of exploring variables to enhance the political and ideological work trajectory. The analysis of the experimental results shows that the innovation of working methods has greatly enhanced the conditions for carrying out ideological and political education in the new environment and has far-reaching implications and important significance for the innovation of ideological and political education in universities.
大数据时代的出现彻底改变了人们的生活和观念。要想有效将大数据的优势应用到高校开展的思想政治教育工作中，就需要对这一主题有深入的了解。这样才能更好地发挥大数据的优势，将其融入教育过程，提高工作的整体质量。为了增强高校思想政治教育的路径，需要因事而化、因时而进、因势而新，因此，积极探索高校思想政治教育的时代路径十分重要。本研究通过对大数据时代高校思想政治教育面临的机遇和挑战进行研究和分析，重新审视高校思想政治教育所处的主观和客观环境，探索高校思想政治教育在新环境下的创新发展路径。我们还将鼓励在培养大数据思维创新、工作方法创新、工作载体创新和思想工作队伍建设等四个领域的创新增长，并对提高工作路径的探索变量的意义进行排名分析。重要性得分衡量了模型中上升决策构建特征的价值，因此使用 XGBoost 算法对增强政治和思想工作轨迹的探索变量的重要性进行排序和分析。实验结果的分析表明，工作方法的创新极大地改善了新环境下开展思想政治教育的条件，对高校思想政治教育的创新具有深远意义和重要意义。
