Challenges and opportunities of artificial intelligence technology in higher education

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Fang-Jun Song, Hui-Pin Chang, Ching-Chien Yang


This article explores the opportunities brought by the application of AI technology in higher education, including self-directed learning, automated assessment, big data analytics, and collaborative resource sharing. Through literature review and case studies, representative universities were selected to discuss the strategies they adopted in their digital transformation, the specific processes involved, challenges encountered, and how these were overcome. The aim is to provide a comprehensive understanding of digital transformation and AI in the field of higher education, and to offer references and insights for policy-making and academic research.


Artificial intelligence; Higher education; Teaching innovation; Challenges and opportunities

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