Year: 2025
Type: article
Abstract: The integration of Artificial Intelligence (AI) in educational settings has transformed traditional approaches to student performance monitoring. This comprehensive review examines the implementation of AI tools designed to enhance the monitoring and assessment of student performance in schools. It explores the evolution of AI in education, evaluates current methodologies, and analyzes empirical findings from recent studies. The discussion addresses the benefits, challenges, and ethical considerations associated with AI-driven performance monitoring. The review concludes by highlighting future directions and best practices for effectively integrating AI tools to support student achievement.
Author: Marthen Medlama
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409083923