International Conference on “Large Language Models and Use cases” 2023 |
Control System labs |
LLMUC2023 - Number 1 |
None 2025 |
Authors: Sahil Pulikal, Nita Patil, C. M. Raut, Sanjay M. Patil |
Sahil Pulikal, Nita Patil, C. M. Raut, Sanjay M. Patil . A Framework for Applying Generative AI in Educational Course Creation. International Conference on “Large Language Models and Use cases” 2023. LLMUC2023, 1 (None 2025), 37-45.
Course generator applications have the potential to revolutionize the way that courses are created. However, existing course generator applications suffer from a number of limitations, including lack of customization such as inability to add custom required topics, limited range of subjects, lack of YouTube video integration, and lack of interactive quizzes. This paper presents a new AI course generator framework that addresses the limitations of existing applications. The framework empowers users to generate highly personalized courses across diverse subject domains. It leverages advanced Generative AI models like those from OpenAI’s GPT model and prompt engineering techniques to analyze user input and automatically create comprehensive course outlines, including key topics, and sub topics. Additionally, the framework seamlessly integrates relevant YouTube videos and automatically generates interactive quizzes to enhance engagement and assess student comprehension. This paper details the proposed framework's architecture and functionalities. The proposed framework holds significant promise for transforming the way educators and learners interact with educational content, leading to a more engaging and personalized learning experience.