Harnessing Potential: Meta-Analysis of AI Integration in Higher Education

The integration of artificial intelligence [AI] into higher education is a rapidly growing field that offers transformative potential for teaching, learning and organizational processes. This meta-analysis brings together a variety of studies from the past decade to examine the effects, trends, and challenges associated with the implementation of AI in higher education. The analysis includes a comprehensive review of peer- reviewed literature from popular databases, fastening on the effectiveness of AI interventions, linked patterns, and differences between disciplines and styles. Investigation shows that AI has a positive impact on substantiated learning experiences, admin streamlining and data- driven decision- making. Still, ethical considerations related to data analysis, algorithm creation, and the responsible use of AI crop as crucial areas of discussion. This study offers recommendations for future practice, policy, and exploration, championing for the integration of AI into faculty, teaching, learning, ethical guidance, and investment in ongoing studies. This meta- analysis demonstrates the transformative eventuality of AI to reform higher education, pressing the significance of addressing ethical enterprises and responsible implementation for educational optimal outcomes.