Opportunities and Challenges of Big Data Empowering Clinical Medicine Graduate Education from the Perspective of Ideological and Political Guidance

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

This study explores the theme of “Big Data Empowering Clinical Medicine Graduate Education from the Perspective of Ideological and Political Guidance.” It examines how big data technology can enhance the quality of graduate education in clinical medicine. By analyzing the integration of ideological and political guidance theory with big data technology, this paper aims to uncover the potential opportunities and challenges of big data in improving clinical medicine graduate education. The research employs literature review and case study methods to delve into the potential applications of big data technology in curriculum design, teaching quality monitoring, student evaluation, and personalized learning support. The results indicate that big data technology provides new tools and methods for clinical medicine graduate education, contributing to the personalization, precision, and efficiency of education. However, the application of big data technology also faces challenges such as data privacy protection and transparency in technology application. This study offers theoretical support and practical guidance for the introduction of big data technology in the field of clinical medicine graduate education, holding significant implications for promoting the innovation and development of educational technology.

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