Systematic review highlights ethical challenges and emphasizes the need for better implementation in higher education.
Key Points
Implementation of artificial intelligence in higher education faces significant challenges, including poor infrastructure and inadequate teacher training.
Research identifies a concentration in studies on machine learning and natural language processing applications, with varied outcomes across regions.
Assessment followed systematic review methodology, analyzing 421 studies for comprehensive insights into AI's impact on education.
Urgent need for further studies on evaluating short-term and long-term outcomes of AI initiatives in educational settings.