In the new era of rapid iteration of digital technology and in-depth advancement of education digitalization strategies, artificial intelligence, as the core driving force, is profoundly reshaping the education form, governance model and education path, injecting new vitality into the reform and innovation of college party schools. As an important position for the partys ideological and theoretical construction, the party school in colleges and universities is the core platform for carrying out theoretical education, party spirit tempering, and political ability improvement for young party members, party activists, and grassroots party workers. Under the traditional training model, it has always faced serious problems such as serious homogeneity in educational content, single and solidified teaching forms, insufficient precise supply, low management and operation efficiency, and insufficient comprehensive assessment and evaluation. The traditional teaching and training model of party schools has been difficult to fully meet the individual needs of the growth and development of young party members in the new era, and it is also difficult to meet the practical requirements of the high-quality development of party building in colleges and universities. Artificial intelligence has injected new development momentum into the cultivation of party schools in colleges and universities. By reconstructing education supply methods, integrating online and offline teaching scenarios, strengthening data-driven governance, and improving the whole-process evaluation system, it has effectively promoted the iterative upgrading of party member education models and continuously strengthened the new era. The attractiveness, cohesion and effectiveness of party member education in colleges and universities.
Rao et al. (Thu,) studied this question.