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

This paper proposes a conceptual framework for AI-driven personalized learning pathways across K-12, higher education, and corporate training, discussing student profiling, adaptive learning path generation, and continuous assessment. It references existing systems like Summit Learning (K-12) and discusses implementation challenges including data privacy, scalability, and equity.

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 Geo

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