Harnessing Artificial Intelligence for Personalized Learning Pathways: A Framework for Adaptive Education Management Systems

Abstract. The integration of artificial intelligence (AI) into education is revolutionising how we deliver personalised learning, where curriculum, pedagogy and assessments are dynamically adjusted to meet the demands of each learner. In this paper, we examine the role AI can play in the construction of personalised learning pathways, and explore its applications for K-12 education, higher education and lifelong learning. We highlight that AI-driven systems such as Summit Learning, Pounce at Georgia State University, and IBMs Watson Talent are helping to measure dramatic improvements in student and employee outcomes, ranging from retention rates, academic performance, to engagement levels. We show how AI can enable student profiling, adaptive learning path generation, and ongoing assessment via the continuous feedback loops that are critical to transformative personalised learning. We also highlight some of the key challenges related to how education (eg, data privacy, scalability and equity), and showcase case studies and data from AI applications in different educational contexts to demonstrate the potential of personalised learning enabled by AI. In summary, this paper underscores the benefits and challenges of implementing AI in education, providing a perspective on how AI is likely to shape the future of learning.