Artificial Intelligence in Personalised Learning System

Abstract

The concept of Artificial Intelligence (AI) has already revolutionised personalised learning systems, enabling adaptation to data-driven, learner-centred educational settings. Using machine learning algorithms, natural language processing, learning analytics, and predictive modelling, AI systems can adapt instruction, assessment methods, and feedback processes to individual learner profiles. In this paper, the authors explore how AI can be used in personalised learning, analyse the existing literature, identify the obstacles, and propose an AI-based framework for educational institutions. A systematic review of the literature examines the progress, factors, and constraints of AI-based personalised education systems. Moreover, a conceptual architecture and workflow model are proposed to improve flexibility, interaction, and learning outcomes. The findings reveal substantial improvements in learner performance, engagement, and retention through the effective combination of AI and pedagogical principles, along with ethical data management.