FROM TRADITIONAL TO INTELLIGENT LEARNING SYSTEMS

Abstract

This article examines the rapid development of artificial intelligence (AI) and digital technologies that has reshaped education, leading to a global transition from traditional teaching methods to intelligent learning systems (ILS). Traditional instruction—characterized by teacher-centred approaches, fixed curricula, and standardized delivery—struggles to meet the diverse cognitive and motivational needs of modern learners. Intelligent learning systems, by contrast, employ adaptive algorithms, data analytics and personalized digital interfaces to increase engagement, autonomy, and learning efficiency. Through real-time feedback, predictive assessment, and individualized learning pathways, they create flexible and inclusive environments. This study analyzes the pedagogical implications, technological foundations, and ethical challenges of this transformation, arguing that AI integration represents a conceptual redefinition of how knowledge is created and internalized. If implemented ethically and equitably, intelligent learning systems can humanize education rather than mechanize it.