AI-Driven Advancements in Open Educational Resource Repositories: Opportunities and Challenges

Abstract

This study explores the integration of Artificial Intelligence (AI) into Open Access Educational Repositories (OAERs), focusing on enhancements to search functionalities, content management, and overall user experience. An extensive web-based literature review was conducted to identify OAERs that have implemented AI technologies and to examine their respective use cases. Findings indicate that AI contributes significantly to improved search accuracy and more refined content organization, utilizing advanced algorithms such as those employed in Dimensions AI and semantic search systems like Open Alex. Additional applications include automated metadata extraction and content recommendation systems, which demonstrate AI’s potential to streamline repository functionalities. Despite these advancements, key challenges remain—particularly concerning data quality, system interoperability, scalability, and the transparency of AI algorithms. The study underscores the need for continued innovation to address these obstacles and enhance the role of AI in expanding accessibility and optimizing the dissemination of academic resources.