Artificial Intelligence-driven personalization and Learning Analytics in Ayurveda education: A framework for next-generation learning management systems

Abstract

ABSTRACT: The integration of Artificial Intelligence (AI) and learning analytics offers innovative potential for Ayurveda education by enabling adaptive, data-informed, and learner-centric experiences. This paper presents a conceptual framework for an AI-driven Learning management system specifically designed for Ayurveda education, aligning Traditional knowledge paradigms with modern digital learning methodologies. The proposed framework aims to enable personalized content delivery, learner engagement tracking, and predictive insights for educators through a modular architecture comprising analytics, personalization, and visualization layers. The evaluation approach is proposed through a pilot design focusing on usability, learning effectiveness, and system adaptability as key metrics. As a conceptual and implementation-oriented framework, the study does not report empirical outcomes but instead outlines an enabling digital infrastructure for future evaluation and deployment in Ayurveda education.

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