Education Science ›› 2022, Vol. 38 ›› Issue (1): 41-48.

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The Possibility and Feasibility of Ideological and Political Education for College Students in the Full Life Cycle — Taking Big Data Application as the Technical Path

Ren Hao1, Mi Pingzhi2, Zhang Jin3   

  1. 1. Dalian Neusoft University of Information, Dalian Liaoning 116023, China
    2. School of Computer and Software, Dalian Neusoft University of Information, Dalian Liaoning 116023, China
    3. Student Affairs Department of Party Committee, Dalian Neusoft University of Information, Dalian Liaoning 116023, China
  • Received:2021-09-15 Online:2022-01-15 Published:2022-04-08

Abstract:

The full life cycle of ideological and political education for college students with big data application as the technical path explores new ideological and political education models from a new perspective, which is not only the further deepening and expansion of ideological and political education in colleges and universities in terms of concepts and time and space, but also the inevitable trend of the development of ideological and political education for college students under in the new era and new technology. The ideological and political education of college students in the full life cycle is a dynamic process that spirals upward in the time dimension, the content is constantly enriched, and the internal elements interact with each other. System theory and demand theory are embodied in the systemic, interactive, growing and three-dimensional characteristics of the education system in the ideological and political education of college students in the full life cycle. The theory of the full life cycle, rich content of ideological and political education, a sound ideological and political work team, and the application of big data technology ensure the possibility and performance of ideological and political education for college students in the whole life cycle. Building a platform for college students’ big data collection, analysis, evaluation, and decision-making is an effective way to explore the practice of college students’ ideological and political education throughout the full life cycle.

Key words: full life cycle, big data, ideological and political education

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