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Home /Archive / Vol. 11, Issue (1) April 2025 / INJET-011-010

Exploring the Challenges and Coping strategies of University Moral Education in the AI ​​Era

Hu Quanhao, Maizura Yasin and Norliza Ghazali


International Journal of Education and Training, Volume 11, Issue 1, April 2025


Keywords: Artificial intelligence, moral education, university, digital ethics, response strategy

Published on: 2025-04-29

eISSN 2462-2079

Article ID

INJET-011-010

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Abstract

In the era of deep integration of artificial intelligence into education, generative AI tools have multi-dimensional impacts on the knowledge construction, thinking training and value transmission mechanism of traditional moral education. This study systematically analyzes the challenges brought by AI technology to moral education and the response strategies of educational institutions through focus group interviews with university moral education teachers. The study found that the core challenges caused by AI technology include students' over-reliance on AI-generated content, which leads to superficial knowledge understanding and increased academic integrity risks, the information uniformity recommended by algorithms restricts the contact with multiple values, and the opacity of AI decision-making process leads to vague definition of moral responsibility. These challenges have an impact on the cultivation of students' critical thinking, moral judgment ability and sense of responsibility. In response to the above problems, the response strategies of universities focus on system construction, teaching innovation and cross-departmental collaboration. By establishing AI use norms and developing intelligent detection systems to prevent academic misconduct, the teaching models such as "human-computer debate" and "process evidence chain assessment" are used to strengthen critical thinking training, and the construction of an educational ecology integrating technology and humanities promotes the cultivation of ethical responsibility awareness. The study emphasizes that technology applications need to serve the educational essence of "cultivating autonomous moral subjects", balance instrumental rationality and humanistic values, and avoid the lack of emotional ethics cultivation due to over-reliance on technology. This study provides empirical evidence and action paths for universities to reconstruct the moral education system in technological innovation, and helps to achieve the organic combination of artificial intelligence technology and the essence of education.

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