Integration of Marxist ideology education in the education of ideologic and politic system of colleges and universities

Lan Jiang
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Abstract

Abstract Based on the technology of big data, this paper utilizes the IKH algorithm to study the optimal selection of education of ideologic and politic strategies, and constructs the education of ideologic and politic strategy selection model according to the IKH-PP algorithm according to the positive and negative incentive strategies of education of ideologic and politic and the improved krill swarm algorithm. Starting from the ideological and political teaching objectives, the evaluation system is determined, and the objective function of the education of ideologic and politic strategy selection model of the IKH-PP algorithm is derived by using projection-seeking analysis. Combining the research dimensions and research hypotheses, we complete the design of the ideological and political research in institution of higher education that integrates Marxist ideology, and use statistical analysis to conduct empirical analysis of education of ideologic and politic in institution of higher education. The results depict that on the model, compared with KH-PP, the precision of education of ideologic and politic strategy selection is improved by 3.96% and 4.1%, and IKH-PP can effectively improve the precision of education of ideologic and politic strategy selection. On the analysis of teaching examples, the Sig. Values of all 11 independent variables are less than 0.01, indicating that all 11 common factors show a significant positive correlation with the ideologic and behavioral choices of making ideologic and politic of identifying with the integration of Marxism in the value conflict. This study makes the theory of education of ideologic and politic in institution of higher education richer and better and is of great significance to the development of ideological and political and Marxist ideology integration teaching.
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马克思主义意识形态教育融入高校思想政治教育体系
摘要本文基于大数据技术,利用IKH算法研究思想政治教育策略的最优选择,根据思想政治教育的正负激励策略和改进的磷虾群算法,构建基于IKH- pp算法的思想政治教育策略选择模型。从思想政治教学目标出发,确定评价体系,运用投影寻求分析,推导出IKH-PP算法思想政治教育策略选择模型的目标函数。结合研究维度和研究假设,完成了融入马克思主义意识形态的高校思想政治研究的设计,并运用统计分析方法对高校思想政治教育进行实证分析。结果表明,在该模型上,与KH-PP相比,思想政治战略选择教育的精度分别提高了3.96%和4.1%,能够有效地提高思想政治战略选择教育的精度。在教学实例分析中,11个自变量的Sig.值均小于0.01,说明在价值观冲突中,11个共同因素均与做出与马克思主义融合的思想政治认同的思想行为选择呈显著正相关。本研究使高校思想政治教育理论更加丰富和完善,对开展思想政治与马克思主义思想一体化教学具有重要意义。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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