AI Course Generator: An Intelligent System for Automated and Personalized Course Creation

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Authors: Tanisha Pathan, Archisha Baitule, Sakshi Nironi, Pranav G. Gawande, Archana R. Pakhare
Cited by: 0

Abstract

The rapid growth of online education has created a demand for scalable and personalized course creation systems. Traditional manual course design is time-consuming and often fails to adapt to diverse learner needs. This paper presents an AI Course Generator that automates course creation using artificial intelligence, natural language processing, and reinforcement learning. The system analyzes learner inputs such as topic, skill level, and learning objectives to generate structured modules, lessons, and assessments. A reinforcement learning–based feedback loop continuously optimizes course sequencing based on learner engagement and performance. Experimental evaluation using simulated learner data demonstrates improved engagement, faster course completion, and enhanced personalization compared to rule-based approaches. The proposed framework offers a scalable and adaptive solution for modern digital learning environments.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Online Learning and Analytics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 February 2026
Language
EN