From Instruction to Assessment: A GenAI-Enhanced Workflow for Transforming Instructional Open Educational Resources into Learning Activities

In the digital era, the educational sector is undergoing a significant transformation, marked by the rise of Open Educational Resources (OERs) and the application of artificial intelligence (AI). This transformation is not without its challenges, particularly in making OERs accessible. Issues related to the decentralized distribution of OERs, the diversity of formats, and the lack of related learning activities hinder their potential to democratize education. This paper explores the integration of generative AI technologies to systematically collect, curate, and enhance OERs, addressing these challenges headon. It proposes innovative methodologies for creating dynamic learning paths that aim to improve the accessibility and usability of OERs, while also introducing interactive and personalized learning activities. An illustrative example displays the practical application of these methodologies, showcasing how generative AI can be employed to improve educational resources, thereby creating dynamic learning paths tailored to individual learning needs.