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<p>As artificial intelligence (AI) technologies increasingly permeate educational spaces, the need for structured and reflective faculty development becomes critical. This study presents a comprehensive case study of a six-week faculty institute designed to support higher education instructors in thoughtfully integrating AI into their pedagogical practices. Framed by Universal Design for Learning (UDL), Bloom’s Taxonomy, and design thinking methodologies, the institute explored the tensions between innovation and academic integrity while promoting inclusive, critical adoption of AI tools. Drawing on session materials, pre/post surveys, participant reflections, and capstone projects from ten interdisciplinary faculty members, this paper examines the experiences and evolving mindsets of educators navigating AI integration. The findings reveal a transformative journey from fear and resistance to collaborative innovation, demonstrating that AI integration, when scaffolded by inclusive design, ethical literacy, and practical application, can enhance faculty agency, curriculum responsiveness, and student engagement. The study identifies four key themes: shifting from fear to curiosity, the desire for ethical clarity, inclusive design as an equity amplifier, and the evolution of faculty from gatekeepers to guides. However, significant challenges persist around policy clarity, institutional support structures, and AI’s perceived legitimacy in teaching and learning. This case study contributes to emerging scholarship on faculty AI literacy and offers a replicable model for sustainable professional development design in a rapidly evolving technological landscape. The research provides practical implications for institutions seeking to bridge the divide between administrative enthusiasm and faculty skepticism, ultimately arguing that AI in higher education transcends fashion or fantasy to become a reality demanding thoughtful pedagogical engagement.</p><p><?noindent??><b>Clinical trial number</b></p><p><?noindent??>Not applicable.</p>

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From fear to innovation: a case study of transformative faculty development for ethical AI integration in higher education

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月13日

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  • John Chick,
  • Laura Morello,
  • Stephanie Staffey

摘要

As artificial intelligence (AI) technologies increasingly permeate educational spaces, the need for structured and reflective faculty development becomes critical. This study presents a comprehensive case study of a six-week faculty institute designed to support higher education instructors in thoughtfully integrating AI into their pedagogical practices. Framed by Universal Design for Learning (UDL), Bloom’s Taxonomy, and design thinking methodologies, the institute explored the tensions between innovation and academic integrity while promoting inclusive, critical adoption of AI tools. Drawing on session materials, pre/post surveys, participant reflections, and capstone projects from ten interdisciplinary faculty members, this paper examines the experiences and evolving mindsets of educators navigating AI integration. The findings reveal a transformative journey from fear and resistance to collaborative innovation, demonstrating that AI integration, when scaffolded by inclusive design, ethical literacy, and practical application, can enhance faculty agency, curriculum responsiveness, and student engagement. The study identifies four key themes: shifting from fear to curiosity, the desire for ethical clarity, inclusive design as an equity amplifier, and the evolution of faculty from gatekeepers to guides. However, significant challenges persist around policy clarity, institutional support structures, and AI’s perceived legitimacy in teaching and learning. This case study contributes to emerging scholarship on faculty AI literacy and offers a replicable model for sustainable professional development design in a rapidly evolving technological landscape. The research provides practical implications for institutions seeking to bridge the divide between administrative enthusiasm and faculty skepticism, ultimately arguing that AI in higher education transcends fashion or fantasy to become a reality demanding thoughtful pedagogical engagement.

Clinical trial number

Not applicable.