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It positions AI strategy as part of broader institutional digital strategy, treating generative AI as a systemic innovator across education. 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D. | Online Learning Consortium  \nAbout this Framework  \nAs we collectively reimagine education in the era of AI, a need emerges to ensure its integration into education in ways that are equitable, inclusive, and ethical. This framework for the comprehensive design, equitable implementation, and continuous improvement of AI strategy marks a shift towards proactive engagement with the transformative potential of technology. This resource is informed by a conceptual framework that classiﬁes AI strategy as an integral component of an institution’s broader digital strategy, as well as a lens through which we can view generative AI not just as a tool for individual courses, but as a systemic innovator within education.  \nCrea2on of the Framework  \nThe creation of this resource entailed the synthesis of three distinct frameworks to guide institutions through the adoption and integration of generative AI. In the identiﬁcation of the three stakeholder groups – administrators, faculty and staﬀ, and students – this framework draws from the WCET AI Education Policy & Practice Ecosystem Framework, developed by Van L. Davis. The WCET framework helps to inform the roles and interactions of diﬀerent stakeholders in AI policy in higher education, and is an adaptation of Cecilia Ka Yuk Chan's research, which probes into the multifaceted eﬀects of AI on university teaching and learning. The phases used in the framework are adaptations of a change management model built by Gerry Hanley for MERLOT and SkillsCommons' Aﬀordable Learning Solutions Network. It outlines a ﬁvephase “ABCDE” process for sustainable institutional change, detailing steps from gathering resources and allies to building demand and buyin. Lastly, this framework incorporates strategic actions based on a publication created by the Association of Public and Land-grant Universities and Tyton Partners in partnership with Every Learner Everywhere. This resource, Strategies for Implementing Digital Learning Infrastructure to Support Equitable Outcomes: A Case-Based Guidebook for Instructional Leaders, categorizes the essential elements for sustaining digital learning and ensuring equitable outcomes across six domains – leadership, budget, and policy; course design and delivery; student success for digital learning; evaluation and analytics; professional learning, and technology infrastructure. By leveraging the open educational practice of open remix to combine these three frameworks, this new resource looks at the stakeholders, lifecycle, and actions required to instantiate generative AI in ways that aﬃ rm the values of institutions as aligned to comprehensive digital strategy.  \nOLC Framework for the Comprehensive Design, Equitable Implementation, and Continuous Improvement of AI Strategy  \nHow to Use  \nThis guide steers educational institutions towards using generative AI in ways that are equitable, culturally sensitive, and empowering. It also encourages a forward-thinking, collaborative approach, equipping educators and students with the skills needed for a future where generative AI is ubiquitous within the classroom, the workplace, and everyday life. To eﬀectively utilize this framework, educational institutions should leverage it as a dynamic tool to guide the integration of generative AI within their learning environments. Here are some actionable ways to use this guide:  \n• Engage various stakeholder groups (especially students) in reﬂective discussions on current and potential uses of AI, tailoring its application to your institution's unique context.  \n• Employ this framework to develop, review, and reﬁ ne AI-related guidelines and policies, ensuring they sta","cbCaiitPr188sr8J","https://ap.wps.com/l/cbCaiitPr188sr8J","pdf",1598935,"English","# About this Framework\n# Crea2on of the Framework\n# How to Use\n# How to Cite\n# License Informa2on\n# Types of Strategic Ac2ons","[{\"question\":\"What is the purpose of this AI strategy framework?\",\"answer\":\"It guides educational institutions to design, implement, and continuously improve generative AI in ways that are equitable, inclusive, and ethical. It also helps integrate AI strategy within broader digital strategy for education.\"},{\"question\":\"How does the framework support institutional adoption of generative AI?\",\"answer\":\"It synthesizes stakeholder roles and change-management phases into a structured “ABCDE” process for sustainable institutional change. It also connects strategic actions to key institutional domains such as leadership, course design, student success, and evaluation.\"},{\"question\":\"How should institutions use the guide in practice?\",\"answer\":\"Institutions should engage stakeholder groups in reflective discussions, use the framework to develop and refine AI guidelines and policies, involve students in policy shaping, and apply it as a quality assurance mechanism to drive continuous improvement.\"}]","OLC Framework for the Comprehensive Design, Equitable Implementation, and Continuous Improvement of AI Strategy | PDF",1792060517,23]