Reconstruction of the Cultivation Model of Student Party Members Based on Artificial Intelligence— Collaborative Mechanism and Practice Verification of Four-dimensional Binary Framework
DOI:
https://doi.org/10.18063/lne.v3i6.1127Keywords:
Human-machine intelligence, cultivation of student party members, four-dimensional binary framework, intelligent decision-making system, data de-biasing technologyAbstract
This study is based on the innovative needs of Party building in Colleges and universities in the new era. In view of the problems existing in the traditional mode of cultivating Party members, such as the single mode of education and the lagging evaluation system. The advantages of artificial intelligence technology are deeply integrated, and the cultivation system of student Party members with "man-machine common wisdom" is pioneered. This model relies on the intelligent decision-making module to establish a training program generation system based on large data analysis. Integrating machine learning algorithm to build classic case-based and decision tree model; Accurate portrait system collects multi-dimensional data such as academic performance, social practice, network behavior and so on. The dynamic monitoring platform analyzes the thought report text by using natural language processing technology. Combining with the analysis of behavior trajectory, the early warning mechanism of Party spirit cultivation is established; the effectiveness evaluation system innovatively designs a quantitative model containing 30 indicators to realize the visual presentation and iterative optimization of the training effect. The research results provide a new technical enabling scheme for breaking the bottleneck of the traditional party building model. It opens up an innovative path for the digital transformation of ideological and political education.
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