Implementation Framework and Strategies for AI-Augmented Open Educational Resources (OER): A Comprehensive Approach Applied to Secondary and Higher Education

This paper aims to propose an implementation framework for the adoption and management of Open Educational Resources (OER), focusing on their life cycle, as well as the integration of AI for supporting educators in their classification of the created content, the creation of tutoring agents for the learning process and learners in deepening their learning experience and exploitation. We explore the incentives for educators, connections to educational programs, and propose a participatory design model for effective implementation. The application of this framework to the Graasp<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup><sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>https://graasp.org learning experience platform and its associated open OER library is also discussed, along with future implementation strategies.