Digital Transformation in Economics Education Through AI: A Bibliometric Approach to Identify Its Impact

Abstract

The integration of Artificial Intelligence (AI) has brought transformative changes to economics education, reshaping teaching and learning practices to meet the demands of the modern economy. This study uses a bibliometric approach to analyze the impact of AI, highlighting key trends, research collaborations, and advancements in this field. AI enables personalized learning experiences, enhances accessibility for diverse learners, and supports the development of data-driven curricula tailored to evolving market needs. Notably, the highly cited article, "The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT" (169 citations), underscores the critical role of digital technologies in addressing global challenges, including those posed by the pandemic. This research highlights the growing importance of interdisciplinary collaboration in leveraging AI to foster innovative and adaptive educational ecosystems. The findings provide valuable insights for educators, researchers, and policymakers seeking to harness AI to create inclusive and sustainable education systems. Future research directions are proposed to explore ethical considerations, scalability, and the long-term implications of AI integration in economics education.