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has been cited by the following article:

• TITLE: Pathway Exploration and Risk Management in Utilizing Generative AI for Ideological and Political Education in Vocational Schools

  AUTHORS: Yiwei Li

  KEYWORDS: Generative Artificial Intelligence, Vocational Colleges, Ideological and Political Education

  JOURNAL NAME: Journal of Computer and Communications, Vol.13 No.8, August 27, 2025

  ABSTRACT: With the rapid development of generative artificial intelligence technology, the digital transformation of ideological and political education in vocational colleges faces new opportunities and challenges. This paper analyzes the value advantages and application scenarios of empowering vocational ideological and political education with generative artificial intelligence, outlines the current risks and concerns in the technology intervention process, and explores practical paths to building a new “I+ Ideological and Political Education” paradigm. The study suggests that generative artificial intelligence can optimize the supply of teaching content, innovate teaching methods, and enhance the effectiveness of education, yet it also brings about issues such as value shift, ethical alienation, and data security. It is essential to adhere to value guidance, improve risk prevention and control mechanisms, elevate teachers’ intelligent literacy, and build a diversified and collaborative human-machine co-education system to ensure that the original intention of ideological and political education to cultivate morality remains unchanged and educational effectiveness continues to improve.