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The Construction of “Party Building + Curriculum Civics” Education Model for Chinese Grassroots Party Organizations in the Context of “Internet+”

   | 05. Juni 2023

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In order to explore the construction mode and direction of the “Party building + Curriculum Civics” education mode of Chinese grass-roots party organizations under the background of “Internet+”. This paper proposes to use the hash search algorithm as the basis of the “Internet+” technology model. Take the Learning Power APP as an example. Use the hash search algorithm to mine the party building and thinking politics elements in the Learning Power APP from three perspectives and establish the index mining vector. Through the mining analysis of the index vector, we verify the development mode of grass-roots party organizations in the context of “Internet+”. The results showed that the learning initiative of party members and cadres on the Learning Power APP reached 95.5%, and 97.65% of them answered positively that using the Learning Power APP could improve the political knowledge and ideological consciousness of party members and cadres, and the average rates of political knowledge, political participation, political belief, political effectiveness and political responsibility among the five indicators were 80%, 51%, 71%, 55.29%, and 86.29%, respectively. The average rates of political knowledge, political participation, political belief, political efficacy, and political responsibility in the five indicators are 80%, 51%, 71%, 55.29%, and 86.96%, respectively. The results prove that the use of new media technology can help Chinese grassroots Party organizations to carry out a new “Party building + curriculum thinking and government” education model in the context of “Internet+”, which provides a broader vision for the innovation of grassroots Party organizations, and also provides a broader vision for “Internet+”. The “Internet+” background has a new place for all technologies.

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik