A Brief Analysis of Promoting the Innovative Development of Ideological and Political Education in Colleges and Universities by Applying Big Data Technology

Abstract

In the era of artificial intelligence, big data technology is increasingly becoming a key support for reshaping the form of education
and enhancing the effectiveness of nurturing talents. Ideological and political education in colleges and universities is confronted with practical challenges such as the transformation of the "Internet generation" of educational subjects, the digital expansion of educational fields, and
the prominent personalization of educational demands. The traditional experience-based and extensive educational models are difficult to meet
the requirements of The Times. Big data technology, with its functional mechanisms such as panoramic profiling, forward-looking prediction,
precise supply, and quantitative assessment, can effectively address prominent issues in ideological and political education, including insufficient precision, weak collaboration, and inadequate scientificity. Therefore, to promote the innovative development of ideological and political
education in colleges and universities, it is necessary to establish a data resource mindset, advance the precise processing of data, break down
the barriers to data sharing, and strengthen data service guarantees. By combining technological empowerment with theoretical innovation, a
new ecosystem of ideological and political education that is digital, precise, and collaborative should be built to continuously enhance the effectiveness of moral education and talent cultivation.