The Use of Generative AI to Support Inclusivity and Design Deliberation for Online Instruction

Authors

  • Jill Stefaniak University of Georgia
  • Stephanie Moore University of New Mexico

DOI:

https://doi.org/10.24059/olj.v28i3.4458

Keywords:

Design deliberations, ethical analysis, localization of context, instructional design, decision-making

Abstract

Generative AI presents significant opportunities for instructional designers to revolutionize content creation and personalization in online learning environments. This paper explores how generative AI can streamline content generation processes, enhance adaptability to individual learner needs, and improve feedback mechanisms, ultimately fostering more engaging and inclusive learning experiences. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires a deliberate approach to design deliberation, that involves careful analysis, discussion, and decision-making throughout the design process. This paper proposes a conceptual framework to support instructional designers in leveraging generative AI to promote inclusivity within their design deliberations, emphasizing the importance of addressing ethical considerations and engaging in iterative design practices.

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Published

2024-09-01

How to Cite

Stefaniak, J., & Moore, S. (2024). The Use of Generative AI to Support Inclusivity and Design Deliberation for Online Instruction. Online Learning, 28(3). https://doi.org/10.24059/olj.v28i3.4458

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Section

Online and Blended Learning in the Age of Generative AI