CFP last date
20 February 2025
Reseach Article

A Framework for Applying Generative AI in Educational Course Creation

Published on None 2025 by Sahil Pulikal, Nita Patil, C. M. Raut, Sanjay M. Patil
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.

@article{
author = { Sahil Pulikal, Nita Patil, C. M. Raut, Sanjay M. Patil },
title = { A Framework for Applying Generative AI in Educational Course Creation },
journal = { International Conference on “Large Language Models and Use cases” 2023 },
issue_date = { None 2025 },
volume = { LLMUC2023 },
number = { 1 },
month = { None },
year = { 2025 },
issn = 0975-8887,
pages = { 37-45 },
numpages = 9,
url = { /proceedings/llmuc2023/number1/a-framework-for-applying-generative-ai-in-educational-course-creation/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on “Large Language Models and Use cases” 2023
%A Sahil Pulikal
%A Nita Patil
%A C. M. Raut
%A Sanjay M. Patil
%T A Framework for Applying Generative AI in Educational Course Creation
%J International Conference on “Large Language Models and Use cases” 2023
%@ 0975-8887
%V LLMUC2023
%N 1
%P 37-45
%D 2025
%I International Journal of Computer Applications
Abstract

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.

References
  1. R. Gozalo-Brizuela and E. C. Garrido-Merchán, (2023) “A survey of Generative AI applications,” arXiv.org, https://doi.org/10.48550/arXiv.2306.02781.
  2. R. Gozalo-Brizuela and E. C. Garrido-Merchan, (2023), “CHATGPT is not all you need. A state of the art review of large generative AI models,” arXiv.org, https://doi.org/10.48550/arXiv.2301.04655.
  3. P. Sridhar et al., (2023), “Harnessing llms in curricular design: Using GPT-4 to support authoring of learning objectives,” arXiv.org, https://doi.org/10.48550/arXiv.2306.17459.
  4. Tsai, Danny CL, Willy JW Chang, and Stephen JH Yang. "Short Answer Questions Generation by Fine-Tuning BERT and GPT-2." In Proceedings of the 29th International Conference on Computers in Education Conference, ICCE. 2021.
  5. C. Zhang et al., (2023), “A complete survey on generative AI (AIGC): Is chatgpt from GPT-4 to GPT-5 all you need?,” arXiv.org, https://doi.org/10.48550/arXiv.2303.11717.
  6. H. Gimpel et al., (2023), “Unlocking the power of Generative AI models and systems such as GPT-4 and CHATGPT for Higher Education: A guide for students and lecturers,” EconStor, https://www.econstor.eu/handle/10419/270970.
  7. E. Tajik and F. Tajik, (2023), “A comprehensive Examination of the potential application of Chat GPT in Higher Education Institutions”. TechRxiv, 12-Apr-2023, doi: 10.36227/techrxiv.22589497.v1.
  8. Su, J., & Yang , W. (2023). "Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education. ECNU Review of Education", 6(3), 355-366. https://doi.org/10.1177/20965311231168423
  9. Aydın, Ömer and Karaarslan, Enis, (2023), "Is ChatGPT Leading Generative AI? What is Beyond Expectations?" (January 29, 2023). Academic Platform Journal of Engineering and Smart Systems. 11(3), 118-134. DOI: 10.21541/apjess.1293702, Available at SSRN: https://ssrn.com/abstract=4341500 or http://dx.doi.org/10.2139/ssrn.4341500
  10. C. Jeong, (2023), “A study on the implementation of Generative AI services using an enterprise data-based LLM Application Architecture,” arXiv.org, https://arxiv.org/abs/2309.01105.
  11. P. Dhoni, (2023), “Exploring the Synergy between Generative AI, Data and Analytics in the Modern Age”. TechRxiv, 29-Aug-2023, doi: 10.36227/techrxiv.24045792.v1.
  12. M. Chui et al., (2023), “The economic potential of generative AI The next productivity frontier,” 2023. Available: http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/14313/1/The-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf
  13. P. Dhoni, (2023), “Unleashing the Potential: Overcoming Hurdles and Embracing Generative AI in IT Workplaces: Advantages, Guidelines, and Policies”. TechRxiv, 20-Jul-2023, doi: 10.36227/techrxiv.23696709.v1.
  14. Qadir, Junaid (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.21789434.v1
  15. D. Dasgupta, . Deepak . Venugopal and K. D. Gupta, (2023), “A Review of Generative AI from Historical Perspectives''. TechRxiv, 17-Feb-2023, doi: 10.36227/techrxiv.22097942.v1.
  16. C. K. Y. Chan and W. Hu, (2023), “Students’ voices on Generative AI: Perceptions, benefits, and challenges in Higher Education,” arXiv.org, https://arxiv.org/abs/2305.00290.
  17. S. Grassini, (2023), “Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings,” Education Sciences, vol. 13, no. 7, p. 692, Jul. 2023, doi: 10.3390/educsci13070692.
Index Terms

Computer Science
Information Sciences

Keywords

Course generator Generative AI Artificial Intelligence Education