AI-Driven Dynamic Course Generation: The Role of LLMs in Personalized Education (KEY IJP************428)

• Vedant Sonawane,Dr. Shagufta Md. Sayeed Sheikh,Piyush Yeole,Om Wakale,Soham Sontakke

Abstract

Prospects for a universal methodology that can successfully meet the demands of diverse learners, their backgrounds, and their differing goals within this rapidly changing educational environment are slim. The program is designed to empower learners through an adaptive learning experience tailored to the individual pace of each learner's progress, strengths, and interests. Working with AI-driven algorithms, the app makes learning pathways more personal, suggests content resources, and adjusts the pace, making it both interesting and more retentive. The platform enhances the delivery of content by scrutinizing user interactions to identify learning patterns and incorporates feedback thus enabling learners to concentrate on the areas needing enhancement at their pace. This approach extends beyond just active learning and into deep learning with the acquired application skills in the framework of the anticipated effective education. The platform will integrate resources of several media types, enable interactive assessments, and provide real-time analytics that can track student progress and apply targeted interventions where necessary. From this particular perspective, the approach within this educational model has advanced quite significantly towards the level of an adaptive, scalable, and student-centred model of learning.