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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Innovation Path of Ideological and Political Education in Universities from the Perspective of Big Data

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DOI: 10.25236/etmhs.2024.095

Author(s)

Han Zhang

Corresponding Author

Han Zhang

Abstract

In the current era of rapid informatization progress, big data stands as the pivotal driver of the next-generation information technology (IT), revolutionizing various aspects of societal life. With its distinctive attributes of vastness, diversity, velocity, and sparsity of value, big data has injected fresh vitality into university ideological and political education (IPE), while simultaneously unveiling novel avenues for its application. This article explores the innovative trajectory of IPE in universities through the lens of big data. The incorporation of big data technology aids in the comprehensive integration and optimal allocation of IPE resources in universities. By excavating and scrutinizing vast educational datasets, we gain a more precise understanding of students' ideological trends and learning aspirations, enabling us to offer more tailored content and services for IPE. Moreover, big data has spurred innovations in IPE methodologies in universities. Leveraging cutting-edge tools such as online education platforms and virtual reality technology, IPE transcends the confines of traditional classrooms, enabling remote teaching and interactive experiences, thus presenting students with a richer and more diverse learning environment. Furthermore, big data facilitates in-depth analysis of students' learning patterns, providing a scientific foundation for the enhancement of teaching methodologies.

Keywords

Big data perspective; Ideological and political education in universities; Innovation path