The intersection of artificial intelligence (AI) and open educational resources (OER) holds significant potential for transforming education and scaling innovation. This presentation will offer an overview of the existing scholarly literature to describe the current landscape, including the opinions, opportunities, challenges, risks, and emerging trends. AI can play a pivotal role in enhancing the adoption, adaption, and authorship of OER, both through small experiments and larger theoretical discussions. However, AI also presents challenges and risks, including data privacy concerns, algorithmic bias, and ethical implications, in addition to a broader potential impact on intellectual property rights and sustainability of the OER ecosystems. This overview will provide takeaways on the intersection between AI and OER, informing future strategies for leveraging their combined potential to drive innovation and accessibility in education and as a way to scale impact for the Open Movement.
Attendees of this session will be able to:- Summarize themes, trends, and remaining questions from existing literature on the intersection between AI and OER
- Recognize the challenges and risks associated with AI, including concerns about privacy, bias, and ethics
- Consider the evolving landscape of educational technology research on how AI could support and enhance the adoption, adaption, or authorship of OER
- Identify ways that AI could drive innovation toward program development in open education
