Integration of Artificial Intelligence in Teaching and Learning Processes

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly reshaped modern educational systems, providing new opportunities for personalized learning, real-time assessment, and data-driven instruction. This article explores how AI technologies are integrated into teaching and learning processes, focusing on adaptive learning systems, intelligent tutoring, predictive analytics, and automated assessment tools. The study also discusses pedagogical implications, technological challenges, and ethical concerns regarding AI adoption. Findings reveal that AI enhances learning efficiency, improves instructional design, and fosters student autonomy, although successful implementation requires adequate teacher training, digital literacy, and responsible data governance. The research concludes that AI has strong potential to transform global education, provided it is applied ethically and strategically.