Leveraging Generative AI to Convert Web Learning Content into Open Educational Resources

Tirer profit de l’IA générative pour transformer les contenus d’apprentissage en ligne en ressources éducatives libres
Valérie Payen Jean Baptiste - Université TELUQ, Canada
Valéry Psyché - Université TÉLUQ, Canada
Geneviève Demers - Université TELUQ, Canada
Faustin Kagorora - Université TELUQ, Canada
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Abstract

This contribution aims to present the different stages of a design thinking methodological approach (Brown, 2009), which consists in training and using the ChatGPT generative AI model to analyze the content of a course’s resources; extract and analyze the types of licenses used and the degrees of accessibility and openness of the resources; and assist in the process of transforming them into open educational resources. By focusing on this AI-assisted research method, we aspire to make it easier for educators and content developers to transform standard educational materials into open educational resources and present a practical case of generative AI orchestration, thus enriching digital education with AI.

Available online: 2025-09-19

DOI : https://doi.org/10.18162/ritpu-2025-v22n1-17

Payen Jean Baptiste, V., Psyché, V., Demers, G., & Kagorora, F. (2025). Leveraging Generative AI to Convert Web Learning Content into Open Educational Resources. International Journal of Technologies in Higher Education, 22(1), article 17. https://doi.org/10.18162/ritpu-2025-v22n1-17

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