THE TRANSFORMATIVE ROLE OF ICT IN EDUCATION: NEW APPROACHES IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE AND ADAPTIVE LEARNING

Abstract

In modern education, the application of Information and Communication Technologies (ICT) has moved beyond a simple technical support role to become a transformative factor that fundamentally alters the content, methods, assessment mechanisms, and management models of teaching. The expansion of digital environments, the development of AI-based systems, learning analytics, and the proliferation of adaptive platforms have led education toward a more flexible, personalized, and data-driven decision-making structure.

This article examines the transformative role of ICT in the context of artificial intelligence (AI) and adaptive learning, systematizing the theoretical and practical foundations of new pedagogical approaches. AI technologies in education create value across several key areas: automated and objective assessment, intelligent tutoring systems that support individualized learning, predictive models based on learner behavior and performance indicators, and real-time content and task adaptation. These systems allow the identification of learners’ strengths and weaknesses, enabling the construction of personalized learning trajectories.

Adaptive learning models, in turn, dynamically adjust instructional content through diagnostic assessments, continuous monitoring, and algorithmic decision-making, replacing the “one-size-fits-all” approach with personalized learning experiences. The analysis demonstrates that these technological approaches are associated with increased motivation, immediate feedback, cognitive load optimization, and improved learning outcomes.

Additionally, the teacher’s role is transformed, shifting from a mere information provider to a learning designer and analytical decision-maker. The article highlights the hybrid teaching model – the collaboration of teachers and AI systems – as the most effective approach.

At the same time, the ethical and social risks of technology-driven transformation are evaluated: data privacy, algorithmic bias, digital inequality, and the potential negative impact of excessive automation on pedagogical quality are identified as key challenges.

The article concludes that, when applied within an appropriate methodological and ethical framework, ICT, AI, and adaptive learning systems have significant potential to enhance the quality, accessibility, and personalization of education, forming one of the central pillars of future educational models.