With the rapid advancement of artificial intelligence (AI), higher education is undergoing a significant transformation. AI offers unprecedented opportunities to enhance this field’s sustainability through pedagogical and curricular innovations, but there are significant challenges. Traditional teaching models often struggle to meet students’ personalized and diverse learning needs. In contrast, AI technologies offer new potential for enhancing education through intelligent data analytics, personalized recommendations, and automated management. Based on research sourced from the Web of Science Core Collection, we employed CiteSpace for visual analysis to map the current research landscape and emerging trends regarding AI in higher education. This review synthesizes these developments to provide a framework for stakeholders, contributing to the discourse on building a sustainable and intelligent higher education ecosystem that balances innovation and ethical governance.
Building similarity graph...
Analyzing shared references across papers
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Su
Liu
Ma
Building similarity graph...
Analyzing shared references across papers
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Su et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69a67f12f353c071a6f0ae95 — DOI: https://doi.org/10.3390/su18052360