WikiJournal of Humanities/Conference Proceedings of EduWiki Conference 2025/Exploring Retrieval-Augmented Generation (RAG)-driven wiki edit preparation: early insights, challenges, and potential
WikiJournal of Humanities
Open access • Publication charge free • Public peer review • Wikipedia-integrated
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DOI: 10.15347/WJH/2025/EDU.14
QID: Q136377812
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Suggested citation format:
Jackeline Bucio García (2 October 2025). "Exploring Retrieval-Augmented Generation (RAG)-driven wiki edit preparation: early insights, challenges, and potential". WikiJournal of Humanities. doi:10.15347/WJH/2025/EDU.14. Wikidata Q136377812. ISSN 2639-5347.
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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction, provided the original author and source are credited.
LiAnna Davis
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Article information
Abstract
Abstract This session presents early experiments using a Retrieval-Augmented Generation (RAG) approach to prepare wiki edits within an open knowledge ecosystem. These experiments are part of a larger project on AI-assisted collaborative editing and represent the initial stages of the work outlined in this publication. This pilot phase was conducted with pedagogy students during the first semester of 2025. The session will explore how RAG was integrated into wiki edit preparation, highlighting methodological choices, tools used, and key challenges encountered in an educational setting. Preliminary findings suggest that RAG can enhance content preparation by improving the review of academic sources, breaking language barriers, and enabling a multimedia approach. These early insights contribute to the broader conversation on AI-enhanced open knowledge practices, shaping future developments in post digital editing environments and informing the ethical, technical, and pedagogical dimensions of AI-assisted knowledge production in education.